psychology experiment research ideas

19+ Experimental Design Examples (Methods + Types)

Ever wondered how scientists discover new medicines, psychologists learn about behavior, or even how marketers figure out what kind of ads you like? Well, they all have something in common: they use a special plan or recipe called an "experimental design."

Imagine you're baking cookies. You can't just throw random amounts of flour, sugar, and chocolate chips into a bowl and hope for the best. You follow a recipe, right? Scientists and researchers do something similar. They follow a "recipe" called an experimental design to make sure their experiments are set up in a way that the answers they find are meaningful and reliable.

Experimental design is the roadmap researchers use to answer questions. It's a set of rules and steps that researchers follow to collect information, or "data," in a way that is fair, accurate, and makes sense.

Long ago, people didn't have detailed game plans for experiments. They often just tried things out and saw what happened. But over time, people got smarter about this. They started creating structured plans—what we now call experimental designs—to get clearer, more trustworthy answers to their questions.

In this article, we'll take you on a journey through the world of experimental designs. We'll talk about the different types, or "flavors," of experimental designs, where they're used, and even give you a peek into how they came to be.

What Is Experimental Design?

Alright, before we dive into the different types of experimental designs, let's get crystal clear on what experimental design actually is.

Imagine you're a detective trying to solve a mystery. You need clues, right? Well, in the world of research, experimental design is like the roadmap that helps you find those clues. It's like the game plan in sports or the blueprint when you're building a house. Just like you wouldn't start building without a good blueprint, researchers won't start their studies without a strong experimental design.

So, why do we need experimental design? Think about baking a cake. If you toss ingredients into a bowl without measuring, you'll end up with a mess instead of a tasty dessert.

Similarly, in research, if you don't have a solid plan, you might get confusing or incorrect results. A good experimental design helps you ask the right questions ( think critically ), decide what to measure ( come up with an idea ), and figure out how to measure it (test it). It also helps you consider things that might mess up your results, like outside influences you hadn't thought of.

For example, let's say you want to find out if listening to music helps people focus better. Your experimental design would help you decide things like: Who are you going to test? What kind of music will you use? How will you measure focus? And, importantly, how will you make sure that it's really the music affecting focus and not something else, like the time of day or whether someone had a good breakfast?

In short, experimental design is the master plan that guides researchers through the process of collecting data, so they can answer questions in the most reliable way possible. It's like the GPS for the journey of discovery!

History of Experimental Design

Around 350 BCE, people like Aristotle were trying to figure out how the world works, but they mostly just thought really hard about things. They didn't test their ideas much. So while they were super smart, their methods weren't always the best for finding out the truth.

Fast forward to the Renaissance (14th to 17th centuries), a time of big changes and lots of curiosity. People like Galileo started to experiment by actually doing tests, like rolling balls down inclined planes to study motion. Galileo's work was cool because he combined thinking with doing. He'd have an idea, test it, look at the results, and then think some more. This approach was a lot more reliable than just sitting around and thinking.

Now, let's zoom ahead to the 18th and 19th centuries. This is when people like Francis Galton, an English polymath, started to get really systematic about experimentation. Galton was obsessed with measuring things. Seriously, he even tried to measure how good-looking people were ! His work helped create the foundations for a more organized approach to experiments.

Next stop: the early 20th century. Enter Ronald A. Fisher , a brilliant British statistician. Fisher was a game-changer. He came up with ideas that are like the bread and butter of modern experimental design.

Fisher invented the concept of the " control group "—that's a group of people or things that don't get the treatment you're testing, so you can compare them to those who do. He also stressed the importance of " randomization ," which means assigning people or things to different groups by chance, like drawing names out of a hat. This makes sure the experiment is fair and the results are trustworthy.

Around the same time, American psychologists like John B. Watson and B.F. Skinner were developing " behaviorism ." They focused on studying things that they could directly observe and measure, like actions and reactions.

Skinner even built boxes—called Skinner Boxes —to test how animals like pigeons and rats learn. Their work helped shape how psychologists design experiments today. Watson performed a very controversial experiment called The Little Albert experiment that helped describe behaviour through conditioning—in other words, how people learn to behave the way they do.

In the later part of the 20th century and into our time, computers have totally shaken things up. Researchers now use super powerful software to help design their experiments and crunch the numbers.

With computers, they can simulate complex experiments before they even start, which helps them predict what might happen. This is especially helpful in fields like medicine, where getting things right can be a matter of life and death.

Also, did you know that experimental designs aren't just for scientists in labs? They're used by people in all sorts of jobs, like marketing, education, and even video game design! Yes, someone probably ran an experiment to figure out what makes a game super fun to play.

So there you have it—a quick tour through the history of experimental design, from Aristotle's deep thoughts to Fisher's groundbreaking ideas, and all the way to today's computer-powered research. These designs are the recipes that help people from all walks of life find answers to their big questions.

Key Terms in Experimental Design

Before we dig into the different types of experimental designs, let's get comfy with some key terms. Understanding these terms will make it easier for us to explore the various types of experimental designs that researchers use to answer their big questions.

Independent Variable : This is what you change or control in your experiment to see what effect it has. Think of it as the "cause" in a cause-and-effect relationship. For example, if you're studying whether different types of music help people focus, the kind of music is the independent variable.

Dependent Variable : This is what you're measuring to see the effect of your independent variable. In our music and focus experiment, how well people focus is the dependent variable—it's what "depends" on the kind of music played.

Control Group : This is a group of people who don't get the special treatment or change you're testing. They help you see what happens when the independent variable is not applied. If you're testing whether a new medicine works, the control group would take a fake pill, called a placebo , instead of the real medicine.

Experimental Group : This is the group that gets the special treatment or change you're interested in. Going back to our medicine example, this group would get the actual medicine to see if it has any effect.

Randomization : This is like shaking things up in a fair way. You randomly put people into the control or experimental group so that each group is a good mix of different kinds of people. This helps make the results more reliable.

Sample : This is the group of people you're studying. They're a "sample" of a larger group that you're interested in. For instance, if you want to know how teenagers feel about a new video game, you might study a sample of 100 teenagers.

Bias : This is anything that might tilt your experiment one way or another without you realizing it. Like if you're testing a new kind of dog food and you only test it on poodles, that could create a bias because maybe poodles just really like that food and other breeds don't.

Data : This is the information you collect during the experiment. It's like the treasure you find on your journey of discovery!

Replication : This means doing the experiment more than once to make sure your findings hold up. It's like double-checking your answers on a test.

Hypothesis : This is your educated guess about what will happen in the experiment. It's like predicting the end of a movie based on the first half.

Steps of Experimental Design

Alright, let's say you're all fired up and ready to run your own experiment. Cool! But where do you start? Well, designing an experiment is a bit like planning a road trip. There are some key steps you've got to take to make sure you reach your destination. Let's break it down:

• Ask a Question : Before you hit the road, you've got to know where you're going. Same with experiments. You start with a question you want to answer, like "Does eating breakfast really make you do better in school?"
• Do Some Homework : Before you pack your bags, you look up the best places to visit, right? In science, this means reading up on what other people have already discovered about your topic.
• Form a Hypothesis : This is your educated guess about what you think will happen. It's like saying, "I bet this route will get us there faster."
• Plan the Details : Now you decide what kind of car you're driving (your experimental design), who's coming with you (your sample), and what snacks to bring (your variables).
• Randomization : Remember, this is like shuffling a deck of cards. You want to mix up who goes into your control and experimental groups to make sure it's a fair test.
• Run the Experiment : Finally, the rubber hits the road! You carry out your plan, making sure to collect your data carefully.
• Analyze the Data : Once the trip's over, you look at your photos and decide which ones are keepers. In science, this means looking at your data to see what it tells you.
• Draw Conclusions : Based on your data, did you find an answer to your question? This is like saying, "Yep, that route was faster," or "Nope, we hit a ton of traffic."
• Share Your Findings : After a great trip, you want to tell everyone about it, right? Scientists do the same by publishing their results so others can learn from them.
• Do It Again? : Sometimes one road trip just isn't enough. In the same way, scientists often repeat their experiments to make sure their findings are solid.

So there you have it! Those are the basic steps you need to follow when you're designing an experiment. Each step helps make sure that you're setting up a fair and reliable way to find answers to your big questions.

Let's get into examples of experimental designs.

1) True Experimental Design

In the world of experiments, the True Experimental Design is like the superstar quarterback everyone talks about. Born out of the early 20th-century work of statisticians like Ronald A. Fisher, this design is all about control, precision, and reliability.

Researchers carefully pick an independent variable to manipulate (remember, that's the thing they're changing on purpose) and measure the dependent variable (the effect they're studying). Then comes the magic trick—randomization. By randomly putting participants into either the control or experimental group, scientists make sure their experiment is as fair as possible.

No sneaky biases here!

True Experimental Design Pros

The pros of True Experimental Design are like the perks of a VIP ticket at a concert: you get the best and most trustworthy results. Because everything is controlled and randomized, you can feel pretty confident that the results aren't just a fluke.

True Experimental Design Cons

However, there's a catch. Sometimes, it's really tough to set up these experiments in a real-world situation. Imagine trying to control every single detail of your day, from the food you eat to the air you breathe. Not so easy, right?

True Experimental Design Uses

The fields that get the most out of True Experimental Designs are those that need super reliable results, like medical research.

When scientists were developing COVID-19 vaccines, they used this design to run clinical trials. They had control groups that received a placebo (a harmless substance with no effect) and experimental groups that got the actual vaccine. Then they measured how many people in each group got sick. By comparing the two, they could say, "Yep, this vaccine works!"

So next time you read about a groundbreaking discovery in medicine or technology, chances are a True Experimental Design was the VIP behind the scenes, making sure everything was on point. It's been the go-to for rigorous scientific inquiry for nearly a century, and it's not stepping off the stage anytime soon.

2) Quasi-Experimental Design

So, let's talk about the Quasi-Experimental Design. Think of this one as the cool cousin of True Experimental Design. It wants to be just like its famous relative, but it's a bit more laid-back and flexible. You'll find quasi-experimental designs when it's tricky to set up a full-blown True Experimental Design with all the bells and whistles.

Quasi-experiments still play with an independent variable, just like their stricter cousins. The big difference? They don't use randomization. It's like wanting to divide a bag of jelly beans equally between your friends, but you can't quite do it perfectly.

In real life, it's often not possible or ethical to randomly assign people to different groups, especially when dealing with sensitive topics like education or social issues. And that's where quasi-experiments come in.

Quasi-Experimental Design Pros

Even though they lack full randomization, quasi-experimental designs are like the Swiss Army knives of research: versatile and practical. They're especially popular in fields like education, sociology, and public policy.

For instance, when researchers wanted to figure out if the Head Start program , aimed at giving young kids a "head start" in school, was effective, they used a quasi-experimental design. They couldn't randomly assign kids to go or not go to preschool, but they could compare kids who did with kids who didn't.

Quasi-Experimental Design Cons

Of course, quasi-experiments come with their own bag of pros and cons. On the plus side, they're easier to set up and often cheaper than true experiments. But the flip side is that they're not as rock-solid in their conclusions. Because the groups aren't randomly assigned, there's always that little voice saying, "Hey, are we missing something here?"

Quasi-Experimental Design Uses

Quasi-Experimental Design gained traction in the mid-20th century. Researchers were grappling with real-world problems that didn't fit neatly into a laboratory setting. Plus, as society became more aware of ethical considerations, the need for flexible designs increased. So, the quasi-experimental approach was like a breath of fresh air for scientists wanting to study complex issues without a laundry list of restrictions.

In short, if True Experimental Design is the superstar quarterback, Quasi-Experimental Design is the versatile player who can adapt and still make significant contributions to the game.

3) Pre-Experimental Design

Now, let's talk about the Pre-Experimental Design. Imagine it as the beginner's skateboard you get before you try out for all the cool tricks. It has wheels, it rolls, but it's not built for the professional skatepark.

Similarly, pre-experimental designs give researchers a starting point. They let you dip your toes in the water of scientific research without diving in head-first.

So, what's the deal with pre-experimental designs?

Pre-Experimental Designs are the basic, no-frills versions of experiments. Researchers still mess around with an independent variable and measure a dependent variable, but they skip over the whole randomization thing and often don't even have a control group.

It's like baking a cake but forgetting the frosting and sprinkles; you'll get some results, but they might not be as complete or reliable as you'd like.

Pre-Experimental Design Pros

Why use such a simple setup? Because sometimes, you just need to get the ball rolling. Pre-experimental designs are great for quick-and-dirty research when you're short on time or resources. They give you a rough idea of what's happening, which you can use to plan more detailed studies later.

A good example of this is early studies on the effects of screen time on kids. Researchers couldn't control every aspect of a child's life, but they could easily ask parents to track how much time their kids spent in front of screens and then look for trends in behavior or school performance.

Pre-Experimental Design Cons

But here's the catch: pre-experimental designs are like that first draft of an essay. It helps you get your ideas down, but you wouldn't want to turn it in for a grade. Because these designs lack the rigorous structure of true or quasi-experimental setups, they can't give you rock-solid conclusions. They're more like clues or signposts pointing you in a certain direction.

Pre-Experimental Design Uses

This type of design became popular in the early stages of various scientific fields. Researchers used them to scratch the surface of a topic, generate some initial data, and then decide if it's worth exploring further. In other words, pre-experimental designs were the stepping stones that led to more complex, thorough investigations.

So, while Pre-Experimental Design may not be the star player on the team, it's like the practice squad that helps everyone get better. It's the starting point that can lead to bigger and better things.

4) Factorial Design

Now, buckle up, because we're moving into the world of Factorial Design, the multi-tasker of the experimental universe.

Imagine juggling not just one, but multiple balls in the air—that's what researchers do in a factorial design.

In Factorial Design, researchers are not satisfied with just studying one independent variable. Nope, they want to study two or more at the same time to see how they interact.

It's like cooking with several spices to see how they blend together to create unique flavors.

Factorial Design became the talk of the town with the rise of computers. Why? Because this design produces a lot of data, and computers are the number crunchers that help make sense of it all. So, thanks to our silicon friends, researchers can study complicated questions like, "How do diet AND exercise together affect weight loss?" instead of looking at just one of those factors.

Factorial Design Pros

This design's main selling point is its ability to explore interactions between variables. For instance, maybe a new study drug works really well for young people but not so great for older adults. A factorial design could reveal that age is a crucial factor, something you might miss if you only studied the drug's effectiveness in general. It's like being a detective who looks for clues not just in one room but throughout the entire house.

Factorial Design Cons

However, factorial designs have their own bag of challenges. First off, they can be pretty complicated to set up and run. Imagine coordinating a four-way intersection with lots of cars coming from all directions—you've got to make sure everything runs smoothly, or you'll end up with a traffic jam. Similarly, researchers need to carefully plan how they'll measure and analyze all the different variables.

Factorial Design Uses

Factorial designs are widely used in psychology to untangle the web of factors that influence human behavior. They're also popular in fields like marketing, where companies want to understand how different aspects like price, packaging, and advertising influence a product's success.

And speaking of success, the factorial design has been a hit since statisticians like Ronald A. Fisher (yep, him again!) expanded on it in the early-to-mid 20th century. It offered a more nuanced way of understanding the world, proving that sometimes, to get the full picture, you've got to juggle more than one ball at a time.

So, if True Experimental Design is the quarterback and Quasi-Experimental Design is the versatile player, Factorial Design is the strategist who sees the entire game board and makes moves accordingly.

5) Longitudinal Design

Alright, let's take a step into the world of Longitudinal Design. Picture it as the grand storyteller, the kind who doesn't just tell you about a single event but spins an epic tale that stretches over years or even decades. This design isn't about quick snapshots; it's about capturing the whole movie of someone's life or a long-running process.

You know how you might take a photo every year on your birthday to see how you've changed? Longitudinal Design is kind of like that, but for scientific research.

With Longitudinal Design, instead of measuring something just once, researchers come back again and again, sometimes over many years, to see how things are going. This helps them understand not just what's happening, but why it's happening and how it changes over time.

This design really started to shine in the latter half of the 20th century, when researchers began to realize that some questions can't be answered in a hurry. Think about studies that look at how kids grow up, or research on how a certain medicine affects you over a long period. These aren't things you can rush.

The famous Framingham Heart Study , started in 1948, is a prime example. It's been studying heart health in a small town in Massachusetts for decades, and the findings have shaped what we know about heart disease.

Longitudinal Design Pros

So, what's to love about Longitudinal Design? First off, it's the go-to for studying change over time, whether that's how people age or how a forest recovers from a fire.

Longitudinal Design Cons

But it's not all sunshine and rainbows. Longitudinal studies take a lot of patience and resources. Plus, keeping track of participants over many years can be like herding cats—difficult and full of surprises.

Longitudinal Design Uses

Despite these challenges, longitudinal studies have been key in fields like psychology, sociology, and medicine. They provide the kind of deep, long-term insights that other designs just can't match.

So, if the True Experimental Design is the superstar quarterback, and the Quasi-Experimental Design is the flexible athlete, then the Factorial Design is the strategist, and the Longitudinal Design is the wise elder who has seen it all and has stories to tell.

6) Cross-Sectional Design

Now, let's flip the script and talk about Cross-Sectional Design, the polar opposite of the Longitudinal Design. If Longitudinal is the grand storyteller, think of Cross-Sectional as the snapshot photographer. It captures a single moment in time, like a selfie that you take to remember a fun day. Researchers using this design collect all their data at one point, providing a kind of "snapshot" of whatever they're studying.

In a Cross-Sectional Design, researchers look at multiple groups all at the same time to see how they're different or similar.

This design rose to popularity in the mid-20th century, mainly because it's so quick and efficient. Imagine wanting to know how people of different ages feel about a new video game. Instead of waiting for years to see how opinions change, you could just ask people of all ages what they think right now. That's Cross-Sectional Design for you—fast and straightforward.

You'll find this type of research everywhere from marketing studies to healthcare. For instance, you might have heard about surveys asking people what they think about a new product or political issue. Those are usually cross-sectional studies, aimed at getting a quick read on public opinion.

Cross-Sectional Design Pros

So, what's the big deal with Cross-Sectional Design? Well, it's the go-to when you need answers fast and don't have the time or resources for a more complicated setup.

Cross-Sectional Design Cons

Remember, speed comes with trade-offs. While you get your results quickly, those results are stuck in time. They can't tell you how things change or why they're changing, just what's happening right now.

Cross-Sectional Design Uses

Also, because they're so quick and simple, cross-sectional studies often serve as the first step in research. They give scientists an idea of what's going on so they can decide if it's worth digging deeper. In that way, they're a bit like a movie trailer, giving you a taste of the action to see if you're interested in seeing the whole film.

So, in our lineup of experimental designs, if True Experimental Design is the superstar quarterback and Longitudinal Design is the wise elder, then Cross-Sectional Design is like the speedy running back—fast, agile, but not designed for long, drawn-out plays.

7) Correlational Design

Next on our roster is the Correlational Design, the keen observer of the experimental world. Imagine this design as the person at a party who loves people-watching. They don't interfere or get involved; they just observe and take mental notes about what's going on.

In a correlational study, researchers don't change or control anything; they simply observe and measure how two variables relate to each other.

The correlational design has roots in the early days of psychology and sociology. Pioneers like Sir Francis Galton used it to study how qualities like intelligence or height could be related within families.

This design is all about asking, "Hey, when this thing happens, does that other thing usually happen too?" For example, researchers might study whether students who have more study time get better grades or whether people who exercise more have lower stress levels.

One of the most famous correlational studies you might have heard of is the link between smoking and lung cancer. Back in the mid-20th century, researchers started noticing that people who smoked a lot also seemed to get lung cancer more often. They couldn't say smoking caused cancer—that would require a true experiment—but the strong correlation was a red flag that led to more research and eventually, health warnings.

Correlational Design Pros

This design is great at proving that two (or more) things can be related. Correlational designs can help prove that more detailed research is needed on a topic. They can help us see patterns or possible causes for things that we otherwise might not have realized.

Correlational Design Cons

But here's where you need to be careful: correlational designs can be tricky. Just because two things are related doesn't mean one causes the other. That's like saying, "Every time I wear my lucky socks, my team wins." Well, it's a fun thought, but those socks aren't really controlling the game.

Correlational Design Uses

Despite this limitation, correlational designs are popular in psychology, economics, and epidemiology, to name a few fields. They're often the first step in exploring a possible relationship between variables. Once a strong correlation is found, researchers may decide to conduct more rigorous experimental studies to examine cause and effect.

So, if the True Experimental Design is the superstar quarterback and the Longitudinal Design is the wise elder, the Factorial Design is the strategist, and the Cross-Sectional Design is the speedster, then the Correlational Design is the clever scout, identifying interesting patterns but leaving the heavy lifting of proving cause and effect to the other types of designs.

8) Meta-Analysis

Last but not least, let's talk about Meta-Analysis, the librarian of experimental designs.

If other designs are all about creating new research, Meta-Analysis is about gathering up everyone else's research, sorting it, and figuring out what it all means when you put it together.

Imagine a jigsaw puzzle where each piece is a different study. Meta-Analysis is the process of fitting all those pieces together to see the big picture.

The concept of Meta-Analysis started to take shape in the late 20th century, when computers became powerful enough to handle massive amounts of data. It was like someone handed researchers a super-powered magnifying glass, letting them examine multiple studies at the same time to find common trends or results.

You might have heard of the Cochrane Reviews in healthcare . These are big collections of meta-analyses that help doctors and policymakers figure out what treatments work best based on all the research that's been done.

For example, if ten different studies show that a certain medicine helps lower blood pressure, a meta-analysis would pull all that information together to give a more accurate answer.

Meta-Analysis Pros

The beauty of Meta-Analysis is that it can provide really strong evidence. Instead of relying on one study, you're looking at the whole landscape of research on a topic.

Meta-Analysis Cons

However, it does have some downsides. For one, Meta-Analysis is only as good as the studies it includes. If those studies are flawed, the meta-analysis will be too. It's like baking a cake: if you use bad ingredients, it doesn't matter how good your recipe is—the cake won't turn out well.

Meta-Analysis Uses

Despite these challenges, meta-analyses are highly respected and widely used in many fields like medicine, psychology, and education. They help us make sense of a world that's bursting with information by showing us the big picture drawn from many smaller snapshots.

So, in our all-star lineup, if True Experimental Design is the quarterback and Longitudinal Design is the wise elder, the Factorial Design is the strategist, the Cross-Sectional Design is the speedster, and the Correlational Design is the scout, then the Meta-Analysis is like the coach, using insights from everyone else's plays to come up with the best game plan.

9) Non-Experimental Design

Now, let's talk about a player who's a bit of an outsider on this team of experimental designs—the Non-Experimental Design. Think of this design as the commentator or the journalist who covers the game but doesn't actually play.

In a Non-Experimental Design, researchers are like reporters gathering facts, but they don't interfere or change anything. They're simply there to describe and analyze.

Non-Experimental Design Pros

So, what's the deal with Non-Experimental Design? Its strength is in description and exploration. It's really good for studying things as they are in the real world, without changing any conditions.

Non-Experimental Design Cons

Because a non-experimental design doesn't manipulate variables, it can't prove cause and effect. It's like a weather reporter: they can tell you it's raining, but they can't tell you why it's raining.

The downside? Since researchers aren't controlling variables, it's hard to rule out other explanations for what they observe. It's like hearing one side of a story—you get an idea of what happened, but it might not be the complete picture.

Non-Experimental Design Uses

Non-Experimental Design has always been a part of research, especially in fields like anthropology, sociology, and some areas of psychology.

For instance, if you've ever heard of studies that describe how people behave in different cultures or what teens like to do in their free time, that's often Non-Experimental Design at work. These studies aim to capture the essence of a situation, like painting a portrait instead of taking a snapshot.

One well-known example you might have heard about is the Kinsey Reports from the 1940s and 1950s, which described sexual behavior in men and women. Researchers interviewed thousands of people but didn't manipulate any variables like you would in a true experiment. They simply collected data to create a comprehensive picture of the subject matter.

So, in our metaphorical team of research designs, if True Experimental Design is the quarterback and Longitudinal Design is the wise elder, Factorial Design is the strategist, Cross-Sectional Design is the speedster, Correlational Design is the scout, and Meta-Analysis is the coach, then Non-Experimental Design is the sports journalist—always present, capturing the game, but not part of the action itself.

10) Repeated Measures Design

Time to meet the Repeated Measures Design, the time traveler of our research team. If this design were a player in a sports game, it would be the one who keeps revisiting past plays to figure out how to improve the next one.

Repeated Measures Design is all about studying the same people or subjects multiple times to see how they change or react under different conditions.

The idea behind Repeated Measures Design isn't new; it's been around since the early days of psychology and medicine. You could say it's a cousin to the Longitudinal Design, but instead of looking at how things naturally change over time, it focuses on how the same group reacts to different things.

Imagine a study looking at how a new energy drink affects people's running speed. Instead of comparing one group that drank the energy drink to another group that didn't, a Repeated Measures Design would have the same group of people run multiple times—once with the energy drink, and once without. This way, you're really zeroing in on the effect of that energy drink, making the results more reliable.

Repeated Measures Design Pros

The strong point of Repeated Measures Design is that it's super focused. Because it uses the same subjects, you don't have to worry about differences between groups messing up your results.

Repeated Measures Design Cons

But the downside? Well, people can get tired or bored if they're tested too many times, which might affect how they respond.

Repeated Measures Design Uses

A famous example of this design is the "Little Albert" experiment, conducted by John B. Watson and Rosalie Rayner in 1920. In this study, a young boy was exposed to a white rat and other stimuli several times to see how his emotional responses changed. Though the ethical standards of this experiment are often criticized today, it was groundbreaking in understanding conditioned emotional responses.

In our metaphorical lineup of research designs, if True Experimental Design is the quarterback and Longitudinal Design is the wise elder, Factorial Design is the strategist, Cross-Sectional Design is the speedster, Correlational Design is the scout, Meta-Analysis is the coach, and Non-Experimental Design is the journalist, then Repeated Measures Design is the time traveler—always looping back to fine-tune the game plan.

11) Crossover Design

Next up is Crossover Design, the switch-hitter of the research world. If you're familiar with baseball, you'll know a switch-hitter is someone who can bat both right-handed and left-handed.

In a similar way, Crossover Design allows subjects to experience multiple conditions, flipping them around so that everyone gets a turn in each role.

This design is like the utility player on our team—versatile, flexible, and really good at adapting.

The Crossover Design has its roots in medical research and has been popular since the mid-20th century. It's often used in clinical trials to test the effectiveness of different treatments.

Crossover Design Pros

The neat thing about this design is that it allows each participant to serve as their own control group. Imagine you're testing two new kinds of headache medicine. Instead of giving one type to one group and another type to a different group, you'd give both kinds to the same people but at different times.

Crossover Design Cons

What's the big deal with Crossover Design? Its major strength is in reducing the "noise" that comes from individual differences. Since each person experiences all conditions, it's easier to see real effects. However, there's a catch. This design assumes that there's no lasting effect from the first condition when you switch to the second one. That might not always be true. If the first treatment has a long-lasting effect, it could mess up the results when you switch to the second treatment.

Crossover Design Uses

A well-known example of Crossover Design is in studies that look at the effects of different types of diets—like low-carb vs. low-fat diets. Researchers might have participants follow a low-carb diet for a few weeks, then switch them to a low-fat diet. By doing this, they can more accurately measure how each diet affects the same group of people.

In our team of experimental designs, if True Experimental Design is the quarterback and Longitudinal Design is the wise elder, Factorial Design is the strategist, Cross-Sectional Design is the speedster, Correlational Design is the scout, Meta-Analysis is the coach, Non-Experimental Design is the journalist, and Repeated Measures Design is the time traveler, then Crossover Design is the versatile utility player—always ready to adapt and play multiple roles to get the most accurate results.

12) Cluster Randomized Design

Meet the Cluster Randomized Design, the team captain of group-focused research. In our imaginary lineup of experimental designs, if other designs focus on individual players, then Cluster Randomized Design is looking at how the entire team functions.

This approach is especially common in educational and community-based research, and it's been gaining traction since the late 20th century.

Here's how Cluster Randomized Design works: Instead of assigning individual people to different conditions, researchers assign entire groups, or "clusters." These could be schools, neighborhoods, or even entire towns. This helps you see how the new method works in a real-world setting.

Imagine you want to see if a new anti-bullying program really works. Instead of selecting individual students, you'd introduce the program to a whole school or maybe even several schools, and then compare the results to schools without the program.

Cluster Randomized Design Pros

Why use Cluster Randomized Design? Well, sometimes it's just not practical to assign conditions at the individual level. For example, you can't really have half a school following a new reading program while the other half sticks with the old one; that would be way too confusing! Cluster Randomization helps get around this problem by treating each "cluster" as its own mini-experiment.

Cluster Randomized Design Cons

There's a downside, too. Because entire groups are assigned to each condition, there's a risk that the groups might be different in some important way that the researchers didn't account for. That's like having one sports team that's full of veterans playing against a team of rookies; the match wouldn't be fair.

Cluster Randomized Design Uses

A famous example is the research conducted to test the effectiveness of different public health interventions, like vaccination programs. Researchers might roll out a vaccination program in one community but not in another, then compare the rates of disease in both.

In our metaphorical research team, if True Experimental Design is the quarterback, Longitudinal Design is the wise elder, Factorial Design is the strategist, Cross-Sectional Design is the speedster, Correlational Design is the scout, Meta-Analysis is the coach, Non-Experimental Design is the journalist, Repeated Measures Design is the time traveler, and Crossover Design is the utility player, then Cluster Randomized Design is the team captain—always looking out for the group as a whole.

13) Mixed-Methods Design

Say hello to Mixed-Methods Design, the all-rounder or the "Renaissance player" of our research team.

Mixed-Methods Design uses a blend of both qualitative and quantitative methods to get a more complete picture, just like a Renaissance person who's good at lots of different things. It's like being good at both offense and defense in a sport; you've got all your bases covered!

Mixed-Methods Design is a fairly new kid on the block, becoming more popular in the late 20th and early 21st centuries as researchers began to see the value in using multiple approaches to tackle complex questions. It's the Swiss Army knife in our research toolkit, combining the best parts of other designs to be more versatile.

Here's how it could work: Imagine you're studying the effects of a new educational app on students' math skills. You might use quantitative methods like tests and grades to measure how much the students improve—that's the 'numbers part.'

But you also want to know how the students feel about math now, or why they think they got better or worse. For that, you could conduct interviews or have students fill out journals—that's the 'story part.'

Mixed-Methods Design Pros

So, what's the scoop on Mixed-Methods Design? The strength is its versatility and depth; you're not just getting numbers or stories, you're getting both, which gives a fuller picture.

Mixed-Methods Design Cons

But, it's also more challenging. Imagine trying to play two sports at the same time! You have to be skilled in different research methods and know how to combine them effectively.

Mixed-Methods Design Uses

A high-profile example of Mixed-Methods Design is research on climate change. Scientists use numbers and data to show temperature changes (quantitative), but they also interview people to understand how these changes are affecting communities (qualitative).

In our team of experimental designs, if True Experimental Design is the quarterback, Longitudinal Design is the wise elder, Factorial Design is the strategist, Cross-Sectional Design is the speedster, Correlational Design is the scout, Meta-Analysis is the coach, Non-Experimental Design is the journalist, Repeated Measures Design is the time traveler, Crossover Design is the utility player, and Cluster Randomized Design is the team captain, then Mixed-Methods Design is the Renaissance player—skilled in multiple areas and able to bring them all together for a winning strategy.

14) Multivariate Design

Now, let's turn our attention to Multivariate Design, the multitasker of the research world.

If our lineup of research designs were like players on a basketball court, Multivariate Design would be the player dribbling, passing, and shooting all at once. This design doesn't just look at one or two things; it looks at several variables simultaneously to see how they interact and affect each other.

Multivariate Design is like baking a cake with many ingredients. Instead of just looking at how flour affects the cake, you also consider sugar, eggs, and milk all at once. This way, you understand how everything works together to make the cake taste good or bad.

Multivariate Design has been a go-to method in psychology, economics, and social sciences since the latter half of the 20th century. With the advent of computers and advanced statistical software, analyzing multiple variables at once became a lot easier, and Multivariate Design soared in popularity.

Multivariate Design Pros

So, what's the benefit of using Multivariate Design? Its power lies in its complexity. By studying multiple variables at the same time, you can get a really rich, detailed understanding of what's going on.

Multivariate Design Cons

But that complexity can also be a drawback. With so many variables, it can be tough to tell which ones are really making a difference and which ones are just along for the ride.

Multivariate Design Uses

Imagine you're a coach trying to figure out the best strategy to win games. You wouldn't just look at how many points your star player scores; you'd also consider assists, rebounds, turnovers, and maybe even how loud the crowd is. A Multivariate Design would help you understand how all these factors work together to determine whether you win or lose.

A well-known example of Multivariate Design is in market research. Companies often use this approach to figure out how different factors—like price, packaging, and advertising—affect sales. By studying multiple variables at once, they can find the best combination to boost profits.

In our metaphorical research team, if True Experimental Design is the quarterback, Longitudinal Design is the wise elder, Factorial Design is the strategist, Cross-Sectional Design is the speedster, Correlational Design is the scout, Meta-Analysis is the coach, Non-Experimental Design is the journalist, Repeated Measures Design is the time traveler, Crossover Design is the utility player, Cluster Randomized Design is the team captain, and Mixed-Methods Design is the Renaissance player, then Multivariate Design is the multitasker—juggling many variables at once to get a fuller picture of what's happening.

15) Pretest-Posttest Design

Let's introduce Pretest-Posttest Design, the "Before and After" superstar of our research team. You've probably seen those before-and-after pictures in ads for weight loss programs or home renovations, right?

Well, this design is like that, but for science! Pretest-Posttest Design checks out what things are like before the experiment starts and then compares that to what things are like after the experiment ends.

This design is one of the classics, a staple in research for decades across various fields like psychology, education, and healthcare. It's so simple and straightforward that it has stayed popular for a long time.

In Pretest-Posttest Design, you measure your subject's behavior or condition before you introduce any changes—that's your "before" or "pretest." Then you do your experiment, and after it's done, you measure the same thing again—that's your "after" or "posttest."

Pretest-Posttest Design Pros

What makes Pretest-Posttest Design special? It's pretty easy to understand and doesn't require fancy statistics.

Pretest-Posttest Design Cons

But there are some pitfalls. For example, what if the kids in our math example get better at multiplication just because they're older or because they've taken the test before? That would make it hard to tell if the program is really effective or not.

Pretest-Posttest Design Uses

Let's say you're a teacher and you want to know if a new math program helps kids get better at multiplication. First, you'd give all the kids a multiplication test—that's your pretest. Then you'd teach them using the new math program. At the end, you'd give them the same test again—that's your posttest. If the kids do better on the second test, you might conclude that the program works.

One famous use of Pretest-Posttest Design is in evaluating the effectiveness of driver's education courses. Researchers will measure people's driving skills before and after the course to see if they've improved.

16) Solomon Four-Group Design

Next up is the Solomon Four-Group Design, the "chess master" of our research team. This design is all about strategy and careful planning. Named after Richard L. Solomon who introduced it in the 1940s, this method tries to correct some of the weaknesses in simpler designs, like the Pretest-Posttest Design.

Here's how it rolls: The Solomon Four-Group Design uses four different groups to test a hypothesis. Two groups get a pretest, then one of them receives the treatment or intervention, and both get a posttest. The other two groups skip the pretest, and only one of them receives the treatment before they both get a posttest.

Sound complicated? It's like playing 4D chess; you're thinking several moves ahead!

Solomon Four-Group Design Pros

What's the pro and con of the Solomon Four-Group Design? On the plus side, it provides really robust results because it accounts for so many variables.

Solomon Four-Group Design Cons

The downside? It's a lot of work and requires a lot of participants, making it more time-consuming and costly.

Solomon Four-Group Design Uses

Let's say you want to figure out if a new way of teaching history helps students remember facts better. Two classes take a history quiz (pretest), then one class uses the new teaching method while the other sticks with the old way. Both classes take another quiz afterward (posttest).

Meanwhile, two more classes skip the initial quiz, and then one uses the new method before both take the final quiz. Comparing all four groups will give you a much clearer picture of whether the new teaching method works and whether the pretest itself affects the outcome.

The Solomon Four-Group Design is less commonly used than simpler designs but is highly respected for its ability to control for more variables. It's a favorite in educational and psychological research where you really want to dig deep and figure out what's actually causing changes.

17) Adaptive Designs

Now, let's talk about Adaptive Designs, the chameleons of the experimental world.

Imagine you're a detective, and halfway through solving a case, you find a clue that changes everything. You wouldn't just stick to your old plan; you'd adapt and change your approach, right? That's exactly what Adaptive Designs allow researchers to do.

In an Adaptive Design, researchers can make changes to the study as it's happening, based on early results. In a traditional study, once you set your plan, you stick to it from start to finish.

Adaptive Design Pros

This method is particularly useful in fast-paced or high-stakes situations, like developing a new vaccine in the middle of a pandemic. The ability to adapt can save both time and resources, and more importantly, it can save lives by getting effective treatments out faster.

Adaptive Design Cons

But Adaptive Designs aren't without their drawbacks. They can be very complex to plan and carry out, and there's always a risk that the changes made during the study could introduce bias or errors.

Adaptive Design Uses

Adaptive Designs are most often seen in clinical trials, particularly in the medical and pharmaceutical fields.

For instance, if a new drug is showing really promising results, the study might be adjusted to give more participants the new treatment instead of a placebo. Or if one dose level is showing bad side effects, it might be dropped from the study.

The best part is, these changes are pre-planned. Researchers lay out in advance what changes might be made and under what conditions, which helps keep everything scientific and above board.

In terms of applications, besides their heavy usage in medical and pharmaceutical research, Adaptive Designs are also becoming increasingly popular in software testing and market research. In these fields, being able to quickly adjust to early results can give companies a significant advantage.

Adaptive Designs are like the agile startups of the research world—quick to pivot, keen to learn from ongoing results, and focused on rapid, efficient progress. However, they require a great deal of expertise and careful planning to ensure that the adaptability doesn't compromise the integrity of the research.

18) Bayesian Designs

Next, let's dive into Bayesian Designs, the data detectives of the research universe. Named after Thomas Bayes, an 18th-century statistician and minister, this design doesn't just look at what's happening now; it also takes into account what's happened before.

Imagine if you were a detective who not only looked at the evidence in front of you but also used your past cases to make better guesses about your current one. That's the essence of Bayesian Designs.

Bayesian Designs are like detective work in science. As you gather more clues (or data), you update your best guess on what's really happening. This way, your experiment gets smarter as it goes along.

In the world of research, Bayesian Designs are most notably used in areas where you have some prior knowledge that can inform your current study. For example, if earlier research shows that a certain type of medicine usually works well for a specific illness, a Bayesian Design would include that information when studying a new group of patients with the same illness.

Bayesian Design Pros

One of the major advantages of Bayesian Designs is their efficiency. Because they use existing data to inform the current experiment, often fewer resources are needed to reach a reliable conclusion.

Bayesian Design Cons

However, they can be quite complicated to set up and require a deep understanding of both statistics and the subject matter at hand.

Bayesian Design Uses

Bayesian Designs are highly valued in medical research, finance, environmental science, and even in Internet search algorithms. Their ability to continually update and refine hypotheses based on new evidence makes them particularly useful in fields where data is constantly evolving and where quick, informed decisions are crucial.

Here's a real-world example: In the development of personalized medicine, where treatments are tailored to individual patients, Bayesian Designs are invaluable. If a treatment has been effective for patients with similar genetics or symptoms in the past, a Bayesian approach can use that data to predict how well it might work for a new patient.

This type of design is also increasingly popular in machine learning and artificial intelligence. In these fields, Bayesian Designs help algorithms "learn" from past data to make better predictions or decisions in new situations. It's like teaching a computer to be a detective that gets better and better at solving puzzles the more puzzles it sees.

19) Covariate Adaptive Randomization

Now let's turn our attention to Covariate Adaptive Randomization, which you can think of as the "matchmaker" of experimental designs.

Picture a soccer coach trying to create the most balanced teams for a friendly match. They wouldn't just randomly assign players; they'd take into account each player's skills, experience, and other traits.

Covariate Adaptive Randomization is all about creating the most evenly matched groups possible for an experiment.

In traditional randomization, participants are allocated to different groups purely by chance. This is a pretty fair way to do things, but it can sometimes lead to unbalanced groups.

Imagine if all the professional-level players ended up on one soccer team and all the beginners on another; that wouldn't be a very informative match! Covariate Adaptive Randomization fixes this by using important traits or characteristics (called "covariates") to guide the randomization process.

Covariate Adaptive Randomization Pros

The benefits of this design are pretty clear: it aims for balance and fairness, making the final results more trustworthy.

Covariate Adaptive Randomization Cons

But it's not perfect. It can be complex to implement and requires a deep understanding of which characteristics are most important to balance.

Covariate Adaptive Randomization Uses

This design is particularly useful in medical trials. Let's say researchers are testing a new medication for high blood pressure. Participants might have different ages, weights, or pre-existing conditions that could affect the results.

Covariate Adaptive Randomization would make sure that each treatment group has a similar mix of these characteristics, making the results more reliable and easier to interpret.

In practical terms, this design is often seen in clinical trials for new drugs or therapies, but its principles are also applicable in fields like psychology, education, and social sciences.

For instance, in educational research, it might be used to ensure that classrooms being compared have similar distributions of students in terms of academic ability, socioeconomic status, and other factors.

Covariate Adaptive Randomization is like the wise elder of the group, ensuring that everyone has an equal opportunity to show their true capabilities, thereby making the collective results as reliable as possible.

20) Stepped Wedge Design

Let's now focus on the Stepped Wedge Design, a thoughtful and cautious member of the experimental design family.

Imagine you're trying out a new gardening technique, but you're not sure how well it will work. You decide to apply it to one section of your garden first, watch how it performs, and then gradually extend the technique to other sections. This way, you get to see its effects over time and across different conditions. That's basically how Stepped Wedge Design works.

In a Stepped Wedge Design, all participants or clusters start off in the control group, and then, at different times, they 'step' over to the intervention or treatment group. This creates a wedge-like pattern over time where more and more participants receive the treatment as the study progresses. It's like rolling out a new policy in phases, monitoring its impact at each stage before extending it to more people.

Stepped Wedge Design Pros

The Stepped Wedge Design offers several advantages. Firstly, it allows for the study of interventions that are expected to do more good than harm, which makes it ethically appealing.

Secondly, it's useful when resources are limited and it's not feasible to roll out a new treatment to everyone at once. Lastly, because everyone eventually receives the treatment, it can be easier to get buy-in from participants or organizations involved in the study.

Stepped Wedge Design Cons

However, this design can be complex to analyze because it has to account for both the time factor and the changing conditions in each 'step' of the wedge. And like any study where participants know they're receiving an intervention, there's the potential for the results to be influenced by the placebo effect or other biases.

Stepped Wedge Design Uses

This design is particularly useful in health and social care research. For instance, if a hospital wants to implement a new hygiene protocol, it might start in one department, assess its impact, and then roll it out to other departments over time. This allows the hospital to adjust and refine the new protocol based on real-world data before it's fully implemented.

In terms of applications, Stepped Wedge Designs are commonly used in public health initiatives, organizational changes in healthcare settings, and social policy trials. They are particularly useful in situations where an intervention is being rolled out gradually and it's important to understand its impacts at each stage.

21) Sequential Design

Next up is Sequential Design, the dynamic and flexible member of our experimental design family.

Imagine you're playing a video game where you can choose different paths. If you take one path and find a treasure chest, you might decide to continue in that direction. If you hit a dead end, you might backtrack and try a different route. Sequential Design operates in a similar fashion, allowing researchers to make decisions at different stages based on what they've learned so far.

In a Sequential Design, the experiment is broken down into smaller parts, or "sequences." After each sequence, researchers pause to look at the data they've collected. Based on those findings, they then decide whether to stop the experiment because they've got enough information, or to continue and perhaps even modify the next sequence.

Sequential Design Pros

This allows for a more efficient use of resources, as you're only continuing with the experiment if the data suggests it's worth doing so.

One of the great things about Sequential Design is its efficiency. Because you're making data-driven decisions along the way, you can often reach conclusions more quickly and with fewer resources.

Sequential Design Cons

However, it requires careful planning and expertise to ensure that these "stop or go" decisions are made correctly and without bias.

Sequential Design Uses

In terms of its applications, besides healthcare and medicine, Sequential Design is also popular in quality control in manufacturing, environmental monitoring, and financial modeling. In these areas, being able to make quick decisions based on incoming data can be a big advantage.

This design is often used in clinical trials involving new medications or treatments. For example, if early results show that a new drug has significant side effects, the trial can be stopped before more people are exposed to it.

On the flip side, if the drug is showing promising results, the trial might be expanded to include more participants or to extend the testing period.

Think of Sequential Design as the nimble athlete of experimental designs, capable of quick pivots and adjustments to reach the finish line in the most effective way possible. But just like an athlete needs a good coach, this design requires expert oversight to make sure it stays on the right track.

22) Field Experiments

Last but certainly not least, let's explore Field Experiments—the adventurers of the experimental design world.

Picture a scientist leaving the controlled environment of a lab to test a theory in the real world, like a biologist studying animals in their natural habitat or a social scientist observing people in a real community. These are Field Experiments, and they're all about getting out there and gathering data in real-world settings.

Field Experiments embrace the messiness of the real world, unlike laboratory experiments, where everything is controlled down to the smallest detail. This makes them both exciting and challenging.

Field Experiment Pros

On one hand, the results often give us a better understanding of how things work outside the lab.

While Field Experiments offer real-world relevance, they come with challenges like controlling for outside factors and the ethical considerations of intervening in people's lives without their knowledge.

Field Experiment Cons

On the other hand, the lack of control can make it harder to tell exactly what's causing what. Yet, despite these challenges, they remain a valuable tool for researchers who want to understand how theories play out in the real world.

Field Experiment Uses

Let's say a school wants to improve student performance. In a Field Experiment, they might change the school's daily schedule for one semester and keep track of how students perform compared to another school where the schedule remained the same.

Because the study is happening in a real school with real students, the results could be very useful for understanding how the change might work in other schools. But since it's the real world, lots of other factors—like changes in teachers or even the weather—could affect the results.

Field Experiments are widely used in economics, psychology, education, and public policy. For example, you might have heard of the famous "Broken Windows" experiment in the 1980s that looked at how small signs of disorder, like broken windows or graffiti, could encourage more serious crime in neighborhoods. This experiment had a big impact on how cities think about crime prevention.

From the foundational concepts of control groups and independent variables to the sophisticated layouts like Covariate Adaptive Randomization and Sequential Design, it's clear that the realm of experimental design is as varied as it is fascinating.

We've seen that each design has its own special talents, ideal for specific situations. Some designs, like the Classic Controlled Experiment, are like reliable old friends you can always count on.

Others, like Sequential Design, are flexible and adaptable, making quick changes based on what they learn. And let's not forget the adventurous Field Experiments, which take us out of the lab and into the real world to discover things we might not see otherwise.

Choosing the right experimental design is like picking the right tool for the job. The method you choose can make a big difference in how reliable your results are and how much people will trust what you've discovered. And as we've learned, there's a design to suit just about every question, every problem, and every curiosity.

So the next time you read about a new discovery in medicine, psychology, or any other field, you'll have a better understanding of the thought and planning that went into figuring things out. Experimental design is more than just a set of rules; it's a structured way to explore the unknown and answer questions that can change the world.

Related posts:

• Experimental Psychologist Career (Salary + Duties + Interviews)
• 40+ Famous Psychologists (Images + Biographies)
• 11+ Psychology Experiment Ideas (Goals + Methods)
• The Little Albert Experiment
• 41+ White Collar Job Examples (Salary + Path)

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Social Psychology Experiments: 10 Of The Most Famous Studies

Ten of the most influential social psychology experiments explain why we sometimes do dumb or irrational things. 

Ten of the most influential social psychology experiments explain why we sometimes do dumb or irrational things.

“I have been primarily interested in how and why ordinary people do unusual things, things that seem alien to their natures. Why do good people sometimes act evil? Why do smart people sometimes do dumb or irrational things?” –Philip Zimbardo

Like famous social psychologist Professor Philip Zimbardo (author of The Lucifer Effect: Understanding How Good People Turn Evil ), I’m also obsessed with why we do dumb or irrational things.

The answer quite often is because of other people — something social psychologists have comprehensively shown.

Each of the 10 brilliant social psychology experiments below tells a unique, insightful story relevant to all our lives, every day.

Click the link in each social psychology experiment to get the full description and explanation of each phenomenon.

1. Social Psychology Experiments: The Halo Effect

The halo effect is a finding from a famous social psychology experiment.

It is the idea that global evaluations about a person (e.g. she is likeable) bleed over into judgements about their specific traits (e.g. she is intelligent).

It is sometimes called the “what is beautiful is good” principle, or the “physical attractiveness stereotype”.

It is called the halo effect because a halo was often used in religious art to show that a person is good.

2. Cognitive Dissonance

Cognitive dissonance is the mental discomfort people feel when trying to hold two conflicting beliefs in their mind.

People resolve this discomfort by changing their thoughts to align with one of conflicting beliefs and rejecting the other.

The study provides a central insight into the stories we tell ourselves about why we think and behave the way we do.

3. Robbers Cave Experiment: How Group Conflicts Develop

The Robbers Cave experiment was a famous social psychology experiment on how prejudice and conflict emerged between two group of boys.

It shows how groups naturally develop their own cultures, status structures and boundaries — and then come into conflict with each other.

For example, each country has its own culture, its government, legal system and it draws boundaries to differentiate itself from neighbouring countries.

One of the reasons the became so famous is that it appeared to show how groups could be reconciled, how peace could flourish.

The key was the focus on superordinate goals, those stretching beyond the boundaries of the group itself.

4. Social Psychology Experiments: The Stanford Prison Experiment

The Stanford prison experiment was run to find out how people would react to being made a prisoner or prison guard.

The psychologist Philip Zimbardo, who led the Stanford prison experiment, thought ordinary, healthy people would come to behave cruelly, like prison guards, if they were put in that situation, even if it was against their personality.

It has since become a classic social psychology experiment, studied by generations of students and recently coming under a lot of criticism.

5. The Milgram Social Psychology Experiment

The Milgram experiment , led by the well-known psychologist Stanley Milgram in the 1960s, aimed to test people’s obedience to authority.

The results of Milgram’s social psychology experiment, sometimes known as the Milgram obedience study, continue to be both thought-provoking and controversial.

The Milgram experiment discovered people are much more obedient than you might imagine.

Fully 63 percent of the participants continued administering what appeared like electric shocks to another person while they screamed in agony, begged to stop and eventually fell silent — just because they were told to.

6. The False Consensus Effect

The false consensus effect is a famous social psychological finding that people tend to assume that others agree with them.

It could apply to opinions, values, beliefs or behaviours, but people assume others think and act in the same way as they do.

It is hard for many people to believe the false consensus effect exists because they quite naturally believe they are good ‘intuitive psychologists’, thinking it is relatively easy to predict other people’s attitudes and behaviours.

In reality, people show a number of predictable biases, such as the false consensus effect, when estimating other people’s behaviour and its causes.

7. Social Psychology Experiments: Social Identity Theory

Social identity theory helps to explain why people’s behaviour in groups is fascinating and sometimes disturbing.

People gain part of their self from the groups they belong to and that is at the heart of social identity theory.

The famous theory explains why as soon as humans are bunched together in groups we start to do odd things: copy other members of our group, favour members of own group over others, look for a leader to worship and fight other groups.

8. Negotiation: 2 Psychological Strategies That Matter Most

Negotiation is one of those activities we often engage in without quite realising it.

Negotiation doesn’t just happen in the boardroom, or when we ask our boss for a raise or down at the market, it happens every time we want to reach an agreement with someone.

In a classic, award-winning series of social psychology experiments, Morgan Deutsch and Robert Krauss investigated two central factors in negotiation: how we communicate with each other and how we use threats.

9. Bystander Effect And The Diffusion Of Responsibility

The bystander effect in social psychology is the surprising finding that the mere presence of other people inhibits our own helping behaviours in an emergency.

The bystander effect social psychology experiments are mentioned in every psychology textbook and often dubbed ‘seminal’.

This famous social psychology experiment on the bystander effect was inspired by the highly publicised murder of Kitty Genovese in 1964.

It found that in some circumstances, the presence of others inhibits people’s helping behaviours — partly because of a phenomenon called diffusion of responsibility.

10. Asch Conformity Experiment: The Power Of Social Pressure

The Asch conformity experiments — some of the most famous every done — were a series of social psychology experiments carried out by noted psychologist Solomon Asch.

The Asch conformity experiment reveals how strongly a person’s opinions are affected by people around them.

In fact, the Asch conformity experiment shows that many of us will deny our own senses just to conform with others.

Author: Jeremy Dean

Psychologist, Jeremy Dean, PhD is the founder and author of PsyBlog. He holds a doctorate in psychology from University College London and two other advanced degrees in psychology. He has been writing about scientific research on PsyBlog since 2004. He is also the author of the book "Making Habits, Breaking Habits" (Da Capo, 2013) and several ebooks. View all posts by Jeremy Dean

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80 fascinating psychology research questions for your next project

Last updated

15 February 2024

Reviewed by

Brittany Ferri, PhD, OTR/L

Psychology research is essential for furthering our understanding of human behavior and improving the diagnosis and treatment of psychological conditions.

When psychologists know more about how different social and cultural factors influence how humans act, think, and feel, they can recommend improvements to practices in areas such as education, sport, healthcare, and law enforcement.

Below, you will find 80 research question examples across 16 branches of psychology. First, though, let’s look at some tips to help you select a suitable research topic.

• How to choose a good psychology research topic

Psychology has many branches that break down further into topics. Choosing a topic for your psychology research paper can be daunting because there are so many to choose from. It’s an important choice, as the topic you select will open up a range of questions to explore.

The tips below can help you find a psychology research topic that suits your skills and interests.

Tip #1: Select a topic that interests you

Passion and interest should fuel every research project. A topic that fascinates you will most likely interest others as well. Think about the questions you and others might have and decide on the issues that matter most. Draw on your own interests, but also keep your research topical and relevant to others.

Don’t limit yourself to a topic that you already know about. Instead, choose one that will make you want to know more and dig deeper. This will keep you motivated and excited about your research.

Tip #2: Choose a topic with a manageable scope

If your topic is too broad, you can get overwhelmed by the amount of information available and have trouble maintaining focus. On the other hand, you may find it difficult to find enough information if you choose a topic that is too narrow.

To determine if the topic is too broad or too narrow, start researching as early as possible. If you find there’s an overwhelming amount of research material, you’ll probably need to narrow the topic down. For example, instead of researching the general population, it might be easier to focus on a specific age group. Ask yourself what area of the general topic interests you most and focus on that.

If your scope is too narrow, try to generalize or focus on a larger related topic. Expand your search criteria or select additional databases for information. Consider if the topic is too new to have much information published on it as well.

Tip #3: Select a topic that will produce useful and relevant insights

Doing some preliminary research will reveal any existing research on the topic. If there is existing research, will you be able to produce new insights? You might need to focus on a different area or see if the existing research has limitations that you can overcome.

Bear in mind that finding new information from which to draw fresh insights may be impossible if your topic has been over-researched.

You’ll also need to consider whether your topic is relevant to current trends and needs. For example, researching psychology topics related to social media use may be highly relevant today.

• 80 psychology research topics and questions

Psychology is a broad subject with many branches and potential areas of study. Here are some of them:

Developmental

Personality

Experimental

Organizational

Educational

Neuropsychology

Controversial topics

Below we offer some suggestions on research topics and questions that can get you started. Keep in mind that these are not all-inclusive but should be personalized to fit the theme of your paper.

Social psychology research topics and questions

Social psychology has roots as far back as the 18th century. In simple terms, it’s the study of how behavior is influenced by the presence and behavior of others. It is the science of finding out who we are, who we think we are, and how our perceptions affect ourselves and others. It looks at personalities, relationships, and group behavior.

Here are some potential research questions and paper titles for this topic:

How does social media use impact perceptions of body image in male adolescents?

2. Is childhood bullying a risk factor for social anxiety in adults?

Is homophobia in individuals caused by genetic or environmental factors?

What is the most important psychological predictor of a person’s willingness to donate to charity?

Does a person’s height impact how other people perceive them? If so, how?

Cognitive psychology research questions

Cognitive psychology is the branch that focuses on the interactions of thinking, emotion, creativity, and problem-solving. It also explores the reasons humans think the way they do.

This topic involves exploring how people think by measuring intelligence, thoughts, and cognition. 

Here are some research question ideas:

6. Is there a link between chronic stress and memory function?

7. Can certain kinds of music trigger memories in people with memory loss?

8. Do remote meetings impact the efficacy of team decision-making?

9. Do word games and puzzles slow cognitive decline in adults over the age of 80?

10. Does watching television impact a child’s reading ability?

Developmental psychology research questions

Developmental psychology is the study of how humans grow and change over their lifespan. It usually focuses on the social, emotional, and physical development of babies and children, though it can apply to people of all ages. Developmental psychology is important for understanding how we learn, mature, and adapt to changes.

Here are some questions that might inspire your research:

11. Does grief accelerate the aging process?

12. How do parent–child attachment patterns influence the development of emotion regulation in teenagers?

13. Does bilingualism affect cognitive decline in adults over the age of 70?

14. How does the transition to adulthood impact decision-making abilities

15. How does early exposure to music impact mental health and well-being in school-aged children?

Personality psychology research questions

Personality psychology studies personalities, how they develop, their structures, and the processes that define them. It looks at intelligence, disposition, moral beliefs, thoughts, and reactions.

The goal of this branch of psychology is to scientifically interpret the way personality patterns manifest into an individual’s behaviors. Here are some example research questions:

16. Nature vs. nurture: Which impacts personality development the most?

17. The role of genetics on personality: Does an adopted child take on their biological parents’ personality traits?

18. How do personality traits influence leadership styles and effectiveness in organizational settings?

19. Is there a relationship between an individual’s personality and mental health?

20. Can a chronic illness affect your personality?

Abnormal psychology research questions

As the name suggests, abnormal psychology is a branch that focuses on abnormal behavior and psychopathology (the scientific study of mental illness or disorders).

Abnormal behavior can be challenging to define. Who decides what is “normal”? As such, psychologists in this area focus on the level of distress that certain behaviors may cause, although this typically involves studying mental health conditions such as depression, obsessive-compulsive disorder (OCD), and phobias.

Here are some questions to consider:

21. How does technology impact the development of social anxiety disorder?

22. What are the factors behind the rising incidence of eating disorders in adolescents?

23. Are mindfulness-based interventions effective in the treatment of PTSD?

24. Is there a connection between depression and gambling addiction?

25. Can physical trauma cause psychopathy?

Clinical psychology research questions

Clinical psychology deals with assessing and treating mental illness or abnormal or psychiatric behaviors. It differs from abnormal psychology in that it focuses more on treatments and clinical aspects, while abnormal psychology is more behavioral focused.

This is a specialty area that provides care and treatment for complex mental health conditions. This can include treatment, not only for individuals but for couples, families, and other groups. Clinical psychology also supports communities, conducts research, and offers training to promote mental health. This category is very broad, so there are lots of topics to explore.

Below are some example research questions to consider:

26. Do criminals require more specific therapies or interventions?

27. How effective are selective serotonin reuptake inhibitors in treating mental health disorders?

28. Are there any disadvantages to humanistic therapy?

29. Can group therapy be more beneficial than one-on-one therapy sessions?

30. What are the factors to consider when selecting the right treatment plan for patients with anxiety?

Experimental psychology research questions

Experimental psychology deals with studies that can prove or disprove a hypothesis. Psychologists in this field use scientific methods to collect data on basic psychological processes such as memory, cognition, and learning. They use this data to test the whys and hows of behavior and how outside factors influence its creation.

Areas of interest in this branch relate to perception, memory, emotion, and sensation. The below are example questions that could inspire your own research:

31. Do male or female parents/carers have a more calming influence on children?

32. Will your preference for a genre of music increase the more you listen to it?

33. What are the psychological effects of posting on social media vs. not posting?

34. How is productivity affected by social connection?

35. Is cheating contagious?

Organizational psychology research questions

Organizational psychology studies human behavior in the workplace. It is most frequently used to evaluate an employee, group, or a company’s organizational dynamics. Researchers aim to isolate issues and identify solutions.

This area of study can be beneficial to both employees and employers since the goal is to improve the overall work environment and experience. Researchers apply psychological principles and findings to recommend improvements in performance, communication, job satisfaction, and safety. 

Some potential research questions include the following:

36. How do different leadership styles affect employee morale?

37. Do longer lunch breaks boost employee productivity?

38. Is gender an antecedent to workplace stress?

39. What is the most effective way to promote work–life balance among employees?

40. How do different organizational structures impact the effectiveness of communication, decision-making, and productivity?

Forensic psychology research questions

Some questions to consider exploring in this branch of psychology are:

41. How does incarceration affect mental health?

42. Is childhood trauma a driver for criminal behavior during adulthood?

43. Are people with mental health conditions more likely to be victims of crimes?

44. What are the drivers of false memories, and how do they impact the justice system?

45. Is the media responsible for copycat crimes?

Educational psychology research questions

Educational psychology studies children in an educational setting. It covers topics like teaching methods, aptitude assessment, self-motivation, technology, and parental involvement.

Research in this field of psychology is vital for understanding and optimizing learning processes. It informs educators about cognitive development, learning styles, and effective teaching strategies.

Here are some example research questions:

46. Are different teaching styles more beneficial for children at different times of the day?

47. Can listening to classical music regularly increase a student’s test scores?

48. Is there a connection between sugar consumption and knowledge retention in students?

49. Does sleep duration and quality impact academic performance?

50. Does daily meditation at school influence students’ academic performance and mental health?

Sports psychology research question examples

Sport psychology aims to optimize physical performance and well-being in athletes by using cognitive and behavioral practices and interventions. Some methods include counseling, training, and clinical interventions.

Research in this area is important because it can improve team and individual performance, resilience, motivation, confidence, and overall well-being

Here are some research question ideas for you to consider:

51. How can a famous coach affect a team’s performance?

52. How can athletes control negative emotions in violent or high-contact sports?

53. How does using social media impact an athlete’s performance and well-being?

54. Can psychological interventions help with injury rehabilitation?

55. How can mindfulness practices boost sports performance?

Cultural psychology research question examples

The premise of this branch of psychology is that mind and culture are inseparable. In other words, people are shaped by their cultures, and their cultures are shaped by them. This can be a complex interaction.

Cultural psychology is vital as it explores how cultural context shapes individuals’ thoughts, behaviors, and perceptions. It provides insights into diverse perspectives, promoting cross-cultural understanding and reducing biases.

Here are some ideas that you might consider researching:

56. Are there cultural differences in how people perceive and deal with pain?

57. Are different cultures at increased risk of developing mental health conditions?

58. Are there cultural differences in coping strategies for stress?

59. Do our different cultures shape our personalities?

60. How does multi-generational culture influence family values and structure?

Health psychology research question examples

Health psychology is a crucial field of study. Understanding how psychological factors influence health behaviors, adherence to medical treatments, and overall wellness enables health experts to develop effective interventions and preventive measures, ultimately improving health outcomes.

Health psychology also aids in managing stress, promoting healthy behaviors, and optimizing mental health, fostering a holistic approach to well-being.

Here are five ideas to inspire research in this field:

61. How can health psychology interventions improve lifestyle behaviors to prevent cardiovascular diseases?

62. What role do social norms play in vaping among adolescents?

63. What role do personality traits play in the development and management of chronic pain conditions?

64. How do cultural beliefs and attitudes influence health-seeking behaviors in diverse populations?

65. What are the psychological factors influencing the adherence to preventive health behaviors, such as vaccination and regular screenings?

Neuropsychology research paper question examples

Neuropsychology research explores how a person’s cognition and behavior are related to their brain and nervous system. Researchers aim to advance the diagnosis and treatment of behavioral and cognitive effects of neurological disorders.

Researchers may work with children facing learning or developmental challenges, or with adults with declining cognitive abilities. They may also focus on injuries or illnesses of the brain, such as traumatic brain injuries, to determine the effect on cognitive and behavioral functions.

Neuropsychology informs diagnosis and treatment strategies for conditions such as dementia, traumatic brain injuries, and psychiatric disorders. Understanding the neural basis of behavior enhances our ability to optimize cognitive functioning, rehabilitate people with brain injuries, and improve patient care.

Here are some example research questions to consider:

66. How do neurotransmitter imbalances in specific brain regions contribute to mood disorders such as depression?

67. How can a traumatic brain injury affect memory?

68. What neural processes underlie attention deficits in people with ADHD?

69. Do medications affect the brain differently after a traumatic brain injury?

70. What are the behavioral effects of prolonged brain swelling?

Psychology of religion research question examples

The psychology of religion is a field that studies the interplay between belief systems, spirituality, and mental well-being. It explores the application of the psychological methods and interpretive frameworks of religious traditions and how they relate to both religious and non-religious people.

Psychology of religion research contributes to a holistic understanding of human experiences. It fosters cultural competence and guides therapeutic approaches that respect diverse spiritual beliefs.

Here are some example research questions in this field:

71. What impact does a religious upbringing have on a child’s self-esteem?

72. How do religious beliefs shape decision-making and perceptions of morality?

73. What is the impact of religious indoctrination?

74. Is there correlation between religious and mindfulness practices?

75. How does religious affiliation impact attitudes towards mental health treatment and help-seeking behaviors?

Controversial topics in psychology research question examples

Some psychology topics don’t fit into any of the subcategories above, but they may still be worthwhile topics to consider. These topics are the ones that spark interest, conversation, debate, and disagreement. They are often inspired by current issues and assess the validity of older research.

Consider some of these research question examples:

76. How does the rise in on-screen violence impact behavior in adolescents.

77. Should access to social media platforms be restricted in children under the age of 12 to improve mental health?

78. Are prescription mental health medications over-prescribed in older adults? If so, what are the effects of this?

79. Cognitive biases in AI: what are the implications for decision-making?

80. What are the psychological and ethical implications of using virtual reality in exposure therapy for treating trauma-related conditions?

• Inspiration for your next psychology research project

You can choose from a diverse range of research questions that intersect and overlap across various specialties.

From cognitive psychology to clinical studies, each inquiry contributes to a deeper understanding of the human mind and behavior. Importantly, the relevance of these questions transcends individual disciplines, as many findings offer insights applicable across multiple areas of study.

As health trends evolve and societal needs shift, new topics emerge, fueling continual exploration and discovery. Diving into this ever-changing and expanding area of study enables you to navigate the complexities of the human experience and pave the way for innovative solutions to the challenges of tomorrow.

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20+ Psychology Research Project Ideas for High Schoolers

By Jordan Ellington

Project Support Manager at Polygence

11 minute read

Do you ever find yourself pondering why certain individuals act the way that they do? Why is it that sudden behaviors are triggered in one person but have no effect on the next? If this sounds like you, it’s time to explore the field of psychology! Whether you’re eager to learn more about mental health, functions of the brain, human behavior and motivations, or child development, this could be the sign you’ve been needing to further inspect the world of psychology.

There are many types of psychology research and fields. Here’s a list of project ideas and areas of focus to help inspire you as you get started doing psychology research .

5 Psychology Experiment Research and Passion Project Ideas

Experiments allow psychologists to determine causation (i.e., that something caused another thing to happen). These research projects study how one group of participants (those in the “control” condition) compares to another group of participants (those in the “experimental” condition). Importantly, participants are randomly assigned to conditions - they don’t get to choose which one they are in. 

Here are some psychology experiments that you can do, along with a few things to consider for each one:  

1. Does meditation improve the mental health of people who feel lonely?

Make sure to standardize the way that participants meditate each day (e.g., duration, any apps that they use). What would be a good control condition for this experiment?

Idea by psychology research mentor Kristen

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2. How can psychologists improve mental health?

This is a broad research question - you should narrow it down to a specific area of focus, such as anxiety, depression, and self-esteem. Design an activity for participants to do in order to improve their mental health in this area. Both project #1 and #2 are types of experiments called “interventions”.

Idea by psychology research mentor Tanya

3. Is stress contagious?

This is another broad research question. You can be creative about how you decide to study this idea. Perhaps you will have two “participants” sit side-by-side as they complete a math test. In the experimental condition, one “participant” will actually be a fake participant who’s a member of the research team and acts very nervous while taking the test. In one control condition, both participants will be real. In another control condition, one participant will be “fake,” but they won’t act nervous. How will you measure stress in this experiment? You can use self-report questionnaires, but maybe there is a better way. You should also study how the average score on the test compares between conditions.

Idea by psychology research mentor Stephen

4. What’s more effective for studying: digital study tools or traditional textbook review?

Think about which subjects students typically use digital study tools for (e.g., flashcards). Math is probably not the best subject in this case. Doing the experiment on students in a real classroom on a real test would probably be best, but how can you ensure that students stick to their assigned study method? How can you recreate a classroom in a laboratory setting?

Idea by psychology research mentor Noel

5. Does color impact memory?

In this experiment, you could give participants a list of words in different colors and see how well they remember them based on the color.

Idea by psychology research mentor Aya

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4 Survey-based Psychology Research and Passion Project Ideas

Survey-based research involves analyzing word-based information, such as what participants express in interviews and open-ended response questions, or numerical information (e.g.,when participants answer questions on a scale from 1 to 5). Researchers usually conduct survey-based research when it would be unethical or impossible to do an experiment about the topic. 

When you are asking survey questions, especially about sensitive topics, there are important aspects to consider. Try your best to make participants feel comfortable answering the questions. You can do this by emphasizing that responses will be confidential. Avoid asking leading questions and questions that can be answered with a simple “yes or no.” Doing survey-based research online allows you to have more participants. However, during an in-person interview, you can ask follow-up questions about anything interesting that the participant says. 

Here are ideas of survey-based psychology research projects: 

1. Who uses apps and websites that offer virtual counseling?

How do these digital tools compare to in-person counseling? In this survey, you can ask participants who use virtual tools versus in-person therapy why they use their respective mediums. Ideally, it would be great to find someone who has tried both virtual and in-person therapy.

2. How does the relationship between mountain biking on physical and mental health compare to other types of physical exercise?

This project is interesting because you can’t ethically conduct an experiment and tell participants to do a dangerous activity like mountain biking. Thus, a survey is a better approach. Get participants who do a variety of physical activities and ask them why they chose the activity. Be creative with your questions!

Idea by psychology research mentor Haille  

3. How do members of your family, community, peers, or a specific population think about mental health counseling?

What do they think of people who utilize therapy? After understanding these perceptions of therapy, you can come up with interventions that can challenge stigma around going to therapy. Reducing stigma can encourage people to go to therapy and thus improve mental health outcomes!

Idea by mentor psychology research mentor Nat

4. Think about your high school and ask yourself the question: “Do/Would students from different backgrounds feel welcomed here?”

In this project, you will interview students and teachers to document how your school can better champion diversity and inclusion efforts. You will use primary and secondary sources to uncover themes and gaps in your school’s equity policies and practices.

Idea by psychology research mentor Lydia

5 Psychology Literature Review Research and Passion Project Ideas 

A literature review (sometimes shortened to “lit review”) is a written summary of key work that has been conducted about a psychological topic over several years. It’s a type of secondary research that describes how different studies relate to each other and how the field has developed over time. To write a lit review, the first step is to use an academic journal database (e.g., Google Scholar ) to find and skim academic articles . 

Keep notes about the key findings from each study and how it built off of previous research. What open questions did the researchers hope to resolve by conducting their study? How were the results the same between similar studies and how were the results different? What methods did different researchers use? How has researchers’ understanding of the field changed in light of new and potentially conflicting evidence? 

It can be overwhelming to decide what to include in your literature review because there are tons of psychological articles on a given topic. I like to start with a promising paper in Google Scholar and then look at sources that the paper references. You can also read other literature reviews that other researchers have conducted and note which papers they discuss. In both cases, make sure to go to the original sources and read the actual papers they referenced. Also, use the search filters to ensure that your literature review covers a wide span of years. 

Examples of literature review psychology research project ideas you could do: 

1. How do only-children compare to children who have siblings?

There are many different questions you could focus on: Are only-children more independent? Are children with siblings better at cooperating with others? How does birth order (e.g., being the oldest or youngest sibling) play a role in development?

2. How might family socioeconomic circumstances impact child development?

Consider styles, home (in)stability, local school quality, and more to understand the consequences that different environments could have on children.

Idea by psychology research mentor Katrina

3. Why do certain exercises in specific environments promote different benefits?

You can consider indoor versus outdoor workouts, as well as whether the participants did the exercise alone or with others.

Idea by psychology research mentor Daphne

4. How has our understanding of a particular psychological disorder advanced over the years?

Pick a psychological disorder and write a review paper on recent advances in neuroscience that have improved our understanding of the disorder’s development and treatment.

Idea by psychology research mentor Phil

5. How can existing evidenced-based psychological interventions, such as cognitive behavioral therapy (CBT) to treat anxiety, be adapted to be more culturally sensitive?

Cultural sensitivity involves “recognizing and respecting the beliefs, perspectives, and values of clients from a particular race, ethnicity, or region” and also addresses other important factors, such as age, gender, and sexual orientation. For this literature review, it will probably be best to focus on a particular culture since there are so many different cultures that you could choose from.

Idea by psychology research mentor Kaley

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2+ Psychology Research and Passion Project Ideas Using Scientific Communication

Another type of project focuses on communicating scientific ideas to a lay audience. This project is similar to a literature review because it involves reading and synthesizing scientific articles. However, literature reviews are generally written for an academic audience. The fun thing about a scientific communication project is that you get to be creative! You want to keep your audience engaged. There are many different ways to communicate science, including: 

1. Science blog

You can pick a psychological disorder, and write a blog describing recent advances in neuroscience that have improved our understanding of the disorder’s causes and treatment. Consider the broad impact of the work you review (i.e., why should people care?). 

2. Science podcast

Decide on a subfield of psychology that interests you, such as how researchers use psychology to improve learning and teaching. You could then interview people you know about their experiences with the psychological topic. For example, what learning and teaching strategies work best for them?

Idea by psychology research mentor Yinuo

For any type of scientific communication project, you’ll need to identify your target audience and think about the language that you’ll use to communicate your ideas. For example, I (Logan) generally write psychology-related blogs for high school students, and if I was writing for a younger audience I would explain topics using simpler language. Another thing to consider is the format of your project. A podcast is a more natural format if you want to include interviews. You should also think about where you will publish your work. You’ll have to do some research on the best place to publish a blog! It is fairly easy to publish your podcast on Spotify. 

I’m also going to add that a YouTube channel and a website are two more fun ways to communicate science! I actually have a YouTube channel about juggling , and I’ve really enjoyed posting videos there for over two years.

2 Data-Based Psychology Research and Passion Project Ideas

Other psychology projects involve analyzing large amounts of data. These projects yield interesting results because they allow you to study something “big” that would be difficult to do by hand. To do this type of project, you’ll need some comfort with Microsoft Excel/Google Sheets and statistical analysis. Potentially, you’ll also need to know computer science. Here are a few ideas: 

1. Use publicly available datasets to analyze the availability of mental health services in a U.S. state over time.

How does the availability of services for children compare to that of adults and older adults? What proportion of facilities accept Medicaid/Medicare/public funds (making services accessible to low income populations)?

Example data source: National Mental Health Services Survey

Idea by psychology research mentor Juliana

2. Identifying gender and race/ethnicity biases in sentiment analysis.

Sentiment analysis is a popular form of text analysis that uses artificial intelligence to predict the specific emotion that the writer of the text was feeling. However, we know from prior research in linguistics that there are differences between gender and racial subgroups on how language is used. Thus, these popular sentiment analysis tools, which do not differentiate between gender and race, might lead to biased scores that have important future consequences. This project investigates the degree to which popular sentiment analysis models exhibit gender and racial-ethnic biases. You could ask your friends of different races and genders to write a paragraph using happy, sad, angry, and neutral language, and see how accurately the sentiment analysis predicts their emotions.

Idea by psychology research mentor Steven

2 Other Psychology Research and Passion Project Ideas

1. observational research.

People may behave differently when they know that someone is monitoring their behavior, such as in experiments and surveys. Thus, the goal of observational research is to study how people behave when they don’t know that they are in a research study. Observe how children of different age groups play. First, conduct a literature review to better understand the different levels of social and emotional development throughout childhood. Go to any area where children are playing in order to evaluate how children within different age groups are interacting with one another. How do your observations compare to academic research?

Idea by psychology research mentor Ellyn

2. Media analysis

When portrayed in the media, mental illness is typically exaggerated. Because it is shown to be unpredictable and dangerous, many individuals do not have a good understanding of what mental illness even is. Do a deep analysis of how movies and/or TV shows portray mental illness. Consider the best way to disseminate your findings and discuss what the media gets right and wrong about mental illness. 

Idea by psychology research mentor Urveesha

Psychology Research and Passion Project Resources

The ideas on this list are just a handful of the many types of psychology research projects that you can do!  Here is another list of creative ways you can explore your passions . For even more inspiration, check out the database of projects completed by Polygence students . 

Did you know that doing a research project can really give you an edge on your college application ? 

Read this article about collecting data in psychology to learn more about experimental, survey-based, and observational research.

Before conducting any research project with real participants, make sure to get IRB approval .

After you complete your psychology research or passion project, you may want to write a research paper .

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8 Classic Psychological Experiments

Categories History

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Psychological experiments can tell us a lot about the human mind and behavior. Some of the best-known experiments have given us insights into topics such as conformity, obedience, attachment, and learning.

There are many famous (and sometimes infamous) psychological experiments that have helped shape our understanding of the human mind and behavior. Such experiments offered insights into how people respond to social pressure and how they develop associations that lead to fear. 

While many of these psychological experiments are well known even outside of psychology, it is important to recognize that many of them could not be performed today.

In many instances, these experiments would never receive institutional review board approval due to ethical concerns and the potential harm to participants.

In this article, learn more about some of the most famous psychological experiments and discover why some of them are considered so controversial.

Table of Contents

Pavlov’s Dog Experiments, 1897

While not set up as a psychological experiment, Ivan Pavlov’s research on the digestive systems of dogs had a tremendous impact on the field of psychology. During his research, he noticed that dogs would begin to salivate whenever they saw the lab assistant who provided them with food.

By pairing a previously neutral stimulus (a sound) with a naturally occurring stimulus that automatically produces a response (food), Pavlov discovered that he could condition the dogs to salivate when they heard the sound.

The discovery of the classical conditioning process played a pivotal role in the formation of the behavioral school of psychology and has continued to influence our understanding of how learning can occur through associations.

Little Albert Experiment, 1920

Anyone who has ever taken an introductory course in psychology is probably familiar with the Little Albert experiment. In the famous experiment conducted in the 1920s by behaviorists John B. Watson and Rosalie Rayner, an infant was exposed to a white rat to which he initially exhibited no fear. The researchers then presented the rat accompanied by a loud clanging noise. 

After repeated pairings, the child began to cry when the rat alone was presented. This fear was even generalized to objects that resembled the rat such as fluffy white toys.

Watson’s research played an important role in the development of the school of thought known as behaviorism . It also provided evidence of the power of classical conditioning , which involves learning by association. 

The findings also had implications for our understanding of how fears can form, including phobias and irrational fears that sometimes develop early in life or after a single frightening experience.

Asch Conformity Experiment, 1951

The Asch conformity experiments were a series of psychological experiments conducted by psychologist Solomon Asch during the 1950s. The purpose of the experiments was to determine how much a person’s opinions were influenced by the opinions of the rest of the group.

In the study, participants were told that they were taking a “vision test” along with several other participants. In reality, the other individuals in the room were actors who were following the instructions provided by the experimenters.

When shown several line segments, the participants were supposed to select the one that matched a sample line segment in length.

In some cases, those who were in on the study would pick the obvious match. In other cases, however, the study confederates would unanimously pick the wrong line segment. 

The results of Asch’s experiments found that people tended to conform when other people unanimously picked the wrong answer.

Across the 12 trials he conducted, Asch found that around 33% of the naive participants conformed to the group and picked the wrong answer. In a control group, for comparison, less than 1% of the participants ever chose the wrong answer. 

The experiments revealed how group pressure can cause people to change their own behavior in order to fit in with the rest of the group.

Robbers Cave Experiment, 1954

In the Robbers Cave psychological experiment , researcher Muzafer Sherif and his colleagues used a summer camp setting to look at how factors such as competition and prejudice influenced conflict between groups. 

In the experiment, boys attending a summer camp were randomly assigned to two groups. The groups were then placed in situations where they had to compete with one another. Such competition led to conflicts, competition, and hostility between the two groups.

Later, the experiments attempted to reconcile the groups and eliminate the tensions that the previous competitive tasks had created. Bonding activities had little impact, but the researchers found that situations that required members of the two groups to work together in order to overcome a problem were effective at reducing tensions.

The study had implications for how different social groups create their own norms and hierarchies and then use those rules to exclude outsiders.

Harlow’s Rhesus Monkey Experiments, 1958

Psychologist Harry Harlow conducted a series of experiments during the 1950s and 1960s that demonstrated how important love and affection were in the course of child development. In his experiments, he placed infant monkeys in an environment where they had access to two different surrogate “mothers.”

One was a wire mother who held a bottle and provided food, while the other was a soft surrogate mother who was covered in a terry cloth fabric. 

While the cloth mother did not provide nourishment, the experiments demonstrated that the baby monkeys preferred the soft mother over the wire mother. When they were frightened and needed comfort, they would turn to the cloth mother for security.

Milgram Obedience Experiment, 1963

The Milgram experiment was one of the most famous and controversial psychological experiments ever performed. The experiments involved an experimenter ordering participants to deliver electrical shocks to other people.

While the people who were supposedly receiving the shocks were actors who pretended to be in pain, the participants fully believed that they were delivering painful, and even dangerous shocks. 

Milgram’s findings suggested that up to 65% of the participants were willing to deliver potentially fatal shocks to another person simply because an authority figure ordered them to do so. 

Based on these findings, Milgram proposed that people were willing to follow orders from an authority figure if they think that person will take responsibility for the results and is qualified to give orders. 

Bobo Doll Experiment, 1961-1963

In this experiment, Albert Bandura investigated the effects of observational learning by having young children witness acts of aggression and then observing them to see if they copied the behavior.

Children in the study observed adults act aggressively toward a Bobo doll, a large inflatable doll resembling a bowling pin. When hit or kicked, the doll tips sideways and then returns to an upright position.

Bandura found that children who watched an adult act aggressively were more likely to imitate those behaviors later when they were allowed to play in a room with the Bobo doll.

The study played an important role in our understanding of social learning theory and how kids learn by watching others. 

Stanford Prison Experiment, 1971

In this infamous social psychology experiment, Philip Zimbardo set up a mock prison in the basement of the Stanford University psychology department and randomly assigned a group of 24 college students to either be guards or prisoners. 

The study was originally supposed to last for two weeks but had to be stopped after six days because participants reportedly became so immersed in their roles that they began to experience upsetting psychological effects. The results were believed to demonstrate the power that social roles and expectations can exert over a person’s behavior. 

The experiment is widely described in psychology textbooks and even became the subject of a feature film in 2015. 

More recent analysis has suggested that the experiment had serious design flaws, among other problems. In addition to the already problematic ethics of the study, analysis of the study’s records suggests that the experimenters may have played a role in encouraging the abusive behavior displayed by the participants.

Impact of Psychological Experiments

The psychology experiments of the past have had an impact on our understanding of the human mind and behavior. While many of the experiments described here have problems in terms of their design and their ethics, they remain some of the most famous examples of research within the field of psychology.

Learning more about these classic experiments can help you better understand research that informed the development of psychology. It can also provide inspiration for your own psychology experiment ideas and provide information to explore in your psychology papers .

Bandura A, Ross D, Ross SA. Transmission of aggression through imitation of aggressive models . Journal of Abnormal and Social Psychology. 1961;63:575-82. doi:10.1037/h0045925

Gantt WH . Ivan Pavlov . Encyclopaedia Brittanica . Updated February 23, 2020.

Gonzalez-franco M, Slater M, Birney ME, Swapp D, Haslam SA, Reicher SD. Participant concerns for the Learner in a Virtual Reality replication of the Milgram obedience study. PLoS ONE. 2018;13(12):e0209704. doi:10.1371/journal.pone.0209704

Jeon, HL. The environmental factor within the Solomon Asch Line Test . International Journal of Social Science and Humanity. 2014;4(4):264-268. doi:10.7763/IJSSH.2014.V4.360 

Le Texier T. Debunking the Stanford Prison Experiment . American Psychologist . 2019;74(7):823-839. doi:10.1037/amp0000401

Sherif M, Harvey OJ, White BJ, Hood WR, Sherif CW. Intergroup conflict and cooperation: The Robbers Cave experiment (Vol. 10) . Norman, OK: University Book Exchange; 1961.

Zimbardo P, Haney C, Banks WC, Jaffe D. The Stanford Prison Experiment: A simulation study of the psychology of imprisonment. Stanford University, Stanford Digital Repository, Stanford; 1971.

• The 25 Most Influential Psychological Experiments in History

While each year thousands and thousands of studies are completed in the many specialty areas of psychology, there are a handful that, over the years, have had a lasting impact in the psychological community as a whole. Some of these were dutifully conducted, keeping within the confines of ethical and practical guidelines. Others pushed the boundaries of human behavior during their psychological experiments and created controversies that still linger to this day. And still others were not designed to be true psychological experiments, but ended up as beacons to the psychological community in proving or disproving theories.

This is a list of the 25 most influential psychological experiments still being taught to psychology students of today.

1. A Class Divided

Study conducted by: jane elliott.

Study Conducted in 1968 in an Iowa classroom

Experiment Details: Jane Elliott’s famous experiment was inspired by the assassination of Dr. Martin Luther King Jr. and the inspirational life that he led. The third grade teacher developed an exercise, or better yet, a psychological experiment, to help her Caucasian students understand the effects of racism and prejudice.

Elliott divided her class into two separate groups: blue-eyed students and brown-eyed students. On the first day, she labeled the blue-eyed group as the superior group and from that point forward they had extra privileges, leaving the brown-eyed children to represent the minority group. She discouraged the groups from interacting and singled out individual students to stress the negative characteristics of the children in the minority group. What this exercise showed was that the children’s behavior changed almost instantaneously. The group of blue-eyed students performed better academically and even began bullying their brown-eyed classmates. The brown-eyed group experienced lower self-confidence and worse academic performance. The next day, she reversed the roles of the two groups and the blue-eyed students became the minority group.

At the end of the experiment, the children were so relieved that they were reported to have embraced one another and agreed that people should not be judged based on outward appearances. This exercise has since been repeated many times with similar outcomes.

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2. Asch Conformity Study

Study conducted by: dr. solomon asch.

Study Conducted in 1951 at Swarthmore College

Experiment Details: Dr. Solomon Asch conducted a groundbreaking study that was designed to evaluate a person’s likelihood to conform to a standard when there is pressure to do so.

A group of participants were shown pictures with lines of various lengths and were then asked a simple question: Which line is longest? The tricky part of this study was that in each group only one person was a true participant. The others were actors with a script. Most of the actors were instructed to give the wrong answer. Strangely, the one true participant almost always agreed with the majority, even though they knew they were giving the wrong answer.

The results of this study are important when we study social interactions among individuals in groups. This study is a famous example of the temptation many of us experience to conform to a standard during group situations and it showed that people often care more about being the same as others than they do about being right. It is still recognized as one of the most influential psychological experiments for understanding human behavior.

3. Bobo Doll Experiment

Study conducted by: dr. alburt bandura.

Study Conducted between 1961-1963 at Stanford University

In his groundbreaking study he separated participants into three groups:

• one was exposed to a video of an adult showing aggressive behavior towards a Bobo doll
• another was exposed to video of a passive adult playing with the Bobo doll
• the third formed a control group

Children watched their assigned video and then were sent to a room with the same doll they had seen in the video (with the exception of those in the control group). What the researcher found was that children exposed to the aggressive model were more likely to exhibit aggressive behavior towards the doll themselves. The other groups showed little imitative aggressive behavior. For those children exposed to the aggressive model, the number of derivative physical aggressions shown by the boys was 38.2 and 12.7 for the girls.

The study also showed that boys exhibited more aggression when exposed to aggressive male models than boys exposed to aggressive female models. When exposed to aggressive male models, the number of aggressive instances exhibited by boys averaged 104. This is compared to 48.4 aggressive instances exhibited by boys who were exposed to aggressive female models.

While the results for the girls show similar findings, the results were less drastic. When exposed to aggressive female models, the number of aggressive instances exhibited by girls averaged 57.7. This is compared to 36.3 aggressive instances exhibited by girls who were exposed to aggressive male models. The results concerning gender differences strongly supported Bandura’s secondary prediction that children will be more strongly influenced by same-sex models. The Bobo Doll Experiment showed a groundbreaking way to study human behavior and it’s influences.

4. Car Crash Experiment

Study conducted by: elizabeth loftus and john palmer.

Study Conducted in 1974 at The University of California in Irvine

The participants watched slides of a car accident and were asked to describe what had happened as if they were eyewitnesses to the scene. The participants were put into two groups and each group was questioned using different wording such as “how fast was the car driving at the time of impact?” versus “how fast was the car going when it smashed into the other car?” The experimenters found that the use of different verbs affected the participants’ memories of the accident, showing that memory can be easily distorted.

This research suggests that memory can be easily manipulated by questioning technique. This means that information gathered after the event can merge with original memory causing incorrect recall or reconstructive memory. The addition of false details to a memory of an event is now referred to as confabulation. This concept has very important implications for the questions used in police interviews of eyewitnesses.

5. Cognitive Dissonance Experiment

Study conducted by: leon festinger and james carlsmith.

Study Conducted in 1957 at Stanford University

Experiment Details: The concept of cognitive dissonance refers to a situation involving conflicting:

This conflict produces an inherent feeling of discomfort leading to a change in one of the attitudes, beliefs or behaviors to minimize or eliminate the discomfort and restore balance.

Cognitive dissonance was first investigated by Leon Festinger, after an observational study of a cult that believed that the earth was going to be destroyed by a flood. Out of this study was born an intriguing experiment conducted by Festinger and Carlsmith where participants were asked to perform a series of dull tasks (such as turning pegs in a peg board for an hour). Participant’s initial attitudes toward this task were highly negative.

They were then paid either $1 or $20 to tell a participant waiting in the lobby that the tasks were really interesting. Almost all of the participants agreed to walk into the waiting room and persuade the next participant that the boring experiment would be fun. When the participants were later asked to evaluate the experiment, the participants who were paid only $1 rated the tedious task as more fun and enjoyable than the participants who were paid $20 to lie.

Being paid only $1 is not sufficient incentive for lying and so those who were paid $1 experienced dissonance. They could only overcome that cognitive dissonance by coming to believe that the tasks really were interesting and enjoyable. Being paid $20 provides a reason for turning pegs and there is therefore no dissonance.

6. Fantz’s Looking Chamber

Study conducted by: robert l. fantz.

Study Conducted in 1961 at the University of Illinois

Experiment Details: The study conducted by Robert L. Fantz is among the simplest, yet most important in the field of infant development and vision. In 1961, when this experiment was conducted, there very few ways to study what was going on in the mind of an infant. Fantz realized that the best way was to simply watch the actions and reactions of infants. He understood the fundamental factor that if there is something of interest near humans, they generally look at it.

To test this concept, Fantz set up a display board with two pictures attached. On one was a bulls-eye. On the other was the sketch of a human face. This board was hung in a chamber where a baby could lie safely underneath and see both images. Then, from behind the board, invisible to the baby, he peeked through a hole to watch what the baby looked at. This study showed that a two-month old baby looked twice as much at the human face as it did at the bulls-eye. This suggests that human babies have some powers of pattern and form selection. Before this experiment it was thought that babies looked out onto a chaotic world of which they could make little sense.

7. Hawthorne Effect

Study conducted by: henry a. landsberger.

Study Conducted in 1955 at Hawthorne Works in Chicago, Illinois

Landsberger performed the study by analyzing data from experiments conducted between 1924 and 1932, by Elton Mayo, at the Hawthorne Works near Chicago. The company had commissioned studies to evaluate whether the level of light in a building changed the productivity of the workers. What Mayo found was that the level of light made no difference in productivity. The workers increased their output whenever the amount of light was switched from a low level to a high level, or vice versa.

The researchers noticed a tendency that the workers’ level of efficiency increased when any variable was manipulated. The study showed that the output changed simply because the workers were aware that they were under observation. The conclusion was that the workers felt important because they were pleased to be singled out. They increased productivity as a result. Being singled out was the factor dictating increased productivity, not the changing lighting levels, or any of the other factors that they experimented upon.

The Hawthorne Effect has become one of the hardest inbuilt biases to eliminate or factor into the design of any experiment in psychology and beyond.

8. Kitty Genovese Case

Study conducted by: new york police force.

Study Conducted in 1964 in New York City

Experiment Details: The murder case of Kitty Genovese was never intended to be a psychological experiment, however it ended up having serious implications for the field.

According to a New York Times article, almost 40 neighbors witnessed Kitty Genovese being savagely attacked and murdered in Queens, New York in 1964. Not one neighbor called the police for help. Some reports state that the attacker briefly left the scene and later returned to “finish off” his victim. It was later uncovered that many of these facts were exaggerated. (There were more likely only a dozen witnesses and records show that some calls to police were made).

What this case later become famous for is the “Bystander Effect,” which states that the more bystanders that are present in a social situation, the less likely it is that anyone will step in and help. This effect has led to changes in medicine, psychology and many other areas. One famous example is the way CPR is taught to new learners. All students in CPR courses learn that they must assign one bystander the job of alerting authorities which minimizes the chances of no one calling for assistance.

9. Learned Helplessness Experiment

Study conducted by: martin seligman.

Study Conducted in 1967 at the University of Pennsylvania

Seligman’s experiment involved the ringing of a bell and then the administration of a light shock to a dog. After a number of pairings, the dog reacted to the shock even before it happened. As soon as the dog heard the bell, he reacted as though he’d already been shocked.

During the course of this study something unexpected happened. Each dog was placed in a large crate that was divided down the middle with a low fence. The dog could see and jump over the fence easily. The floor on one side of the fence was electrified, but not on the other side of the fence. Seligman placed each dog on the electrified side and administered a light shock. He expected the dog to jump to the non-shocking side of the fence. In an unexpected turn, the dogs simply laid down.

The hypothesis was that as the dogs learned from the first part of the experiment that there was nothing they could do to avoid the shocks, they gave up in the second part of the experiment. To prove this hypothesis the experimenters brought in a new set of animals and found that dogs with no history in the experiment would jump over the fence.

This condition was described as learned helplessness. A human or animal does not attempt to get out of a negative situation because the past has taught them that they are helpless.

10. Little Albert Experiment

Study conducted by: john b. watson and rosalie rayner.

Study Conducted in 1920 at Johns Hopkins University

The experiment began by placing a white rat in front of the infant, who initially had no fear of the animal. Watson then produced a loud sound by striking a steel bar with a hammer every time little Albert was presented with the rat. After several pairings (the noise and the presentation of the white rat), the boy began to cry and exhibit signs of fear every time the rat appeared in the room. Watson also created similar conditioned reflexes with other common animals and objects (rabbits, Santa beard, etc.) until Albert feared them all.

This study proved that classical conditioning works on humans. One of its most important implications is that adult fears are often connected to early childhood experiences.

11. Magical Number Seven

Study conducted by: george a. miller.

Study Conducted in 1956 at Princeton University

Experiment Details:   Frequently referred to as “ Miller’s Law,” the Magical Number Seven experiment purports that the number of objects an average human can hold in working memory is 7 ± 2. This means that the human memory capacity typically includes strings of words or concepts ranging from 5-9. This information on the limits to the capacity for processing information became one of the most highly cited papers in psychology.

The Magical Number Seven Experiment was published in 1956 by cognitive psychologist George A. Miller of Princeton University’s Department of Psychology in Psychological Review .  In the article, Miller discussed a concurrence between the limits of one-dimensional absolute judgment and the limits of short-term memory.

In a one-dimensional absolute-judgment task, a person is presented with a number of stimuli that vary on one dimension (such as 10 different tones varying only in pitch). The person responds to each stimulus with a corresponding response (learned before).

Performance is almost perfect up to five or six different stimuli but declines as the number of different stimuli is increased. This means that a human’s maximum performance on one-dimensional absolute judgment can be described as an information store with the maximum capacity of approximately 2 to 3 bits of information There is the ability to distinguish between four and eight alternatives.

12. Pavlov’s Dog Experiment

Study conducted by: ivan pavlov.

Study Conducted in the 1890s at the Military Medical Academy in St. Petersburg, Russia

Pavlov began with the simple idea that there are some things that a dog does not need to learn. He observed that dogs do not learn to salivate when they see food. This reflex is “hard wired” into the dog. This is an unconditioned response (a stimulus-response connection that required no learning).

Pavlov outlined that there are unconditioned responses in the animal by presenting a dog with a bowl of food and then measuring its salivary secretions. In the experiment, Pavlov used a bell as his neutral stimulus. Whenever he gave food to his dogs, he also rang a bell. After a number of repeats of this procedure, he tried the bell on its own. What he found was that the bell on its own now caused an increase in salivation. The dog had learned to associate the bell and the food. This learning created a new behavior. The dog salivated when he heard the bell. Because this response was learned (or conditioned), it is called a conditioned response. The neutral stimulus has become a conditioned stimulus.

This theory came to be known as classical conditioning.

13. Robbers Cave Experiment

Study conducted by: muzafer and carolyn sherif.

Study Conducted in 1954 at the University of Oklahoma

Experiment Details: This experiment, which studied group conflict, is considered by most to be outside the lines of what is considered ethically sound.

In 1954 researchers at the University of Oklahoma assigned 22 eleven- and twelve-year-old boys from similar backgrounds into two groups. The two groups were taken to separate areas of a summer camp facility where they were able to bond as social units. The groups were housed in separate cabins and neither group knew of the other’s existence for an entire week. The boys bonded with their cabin mates during that time. Once the two groups were allowed to have contact, they showed definite signs of prejudice and hostility toward each other even though they had only been given a very short time to develop their social group. To increase the conflict between the groups, the experimenters had them compete against each other in a series of activities. This created even more hostility and eventually the groups refused to eat in the same room. The final phase of the experiment involved turning the rival groups into friends. The fun activities the experimenters had planned like shooting firecrackers and watching movies did not initially work, so they created teamwork exercises where the two groups were forced to collaborate. At the end of the experiment, the boys decided to ride the same bus home, demonstrating that conflict can be resolved and prejudice overcome through cooperation.

Many critics have compared this study to Golding’s Lord of the Flies novel as a classic example of prejudice and conflict resolution.

14. Ross’ False Consensus Effect Study

Study conducted by: lee ross.

Study Conducted in 1977 at Stanford University

Experiment Details: In 1977, a social psychology professor at Stanford University named Lee Ross conducted an experiment that, in lay terms, focuses on how people can incorrectly conclude that others think the same way they do, or form a “false consensus” about the beliefs and preferences of others. Ross conducted the study in order to outline how the “false consensus effect” functions in humans.

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In the first part of the study, participants were asked to read about situations in which a conflict occurred and then were told two alternative ways of responding to the situation. They were asked to do three things:

• Guess which option other people would choose
• Say which option they themselves would choose
• Describe the attributes of the person who would likely choose each of the two options

What the study showed was that most of the subjects believed that other people would do the same as them, regardless of which of the two responses they actually chose themselves. This phenomenon is referred to as the false consensus effect, where an individual thinks that other people think the same way they do when they may not. The second observation coming from this important study is that when participants were asked to describe the attributes of the people who will likely make the choice opposite of their own, they made bold and sometimes negative predictions about the personalities of those who did not share their choice.

15. The Schacter and Singer Experiment on Emotion

Study conducted by: stanley schachter and jerome e. singer.

Study Conducted in 1962 at Columbia University

Experiment Details: In 1962 Schachter and Singer conducted a ground breaking experiment to prove their theory of emotion.

In the study, a group of 184 male participants were injected with epinephrine, a hormone that induces arousal including increased heartbeat, trembling, and rapid breathing. The research participants were told that they were being injected with a new medication to test their eyesight. The first group of participants was informed the possible side effects that the injection might cause while the second group of participants were not. The participants were then placed in a room with someone they thought was another participant, but was actually a confederate in the experiment. The confederate acted in one of two ways: euphoric or angry. Participants who had not been informed about the effects of the injection were more likely to feel either happier or angrier than those who had been informed.

What Schachter and Singer were trying to understand was the ways in which cognition or thoughts influence human emotion. Their study illustrates the importance of how people interpret their physiological states, which form an important component of your emotions. Though their cognitive theory of emotional arousal dominated the field for two decades, it has been criticized for two main reasons: the size of the effect seen in the experiment was not that significant and other researchers had difficulties repeating the experiment.

16. Selective Attention / Invisible Gorilla Experiment

Study conducted by: daniel simons and christopher chabris.

Study Conducted in 1999 at Harvard University

Experiment Details: In 1999 Simons and Chabris conducted their famous awareness test at Harvard University.

Participants in the study were asked to watch a video and count how many passes occurred between basketball players on the white team. The video moves at a moderate pace and keeping track of the passes is a relatively easy task. What most people fail to notice amidst their counting is that in the middle of the test, a man in a gorilla suit walked onto the court and stood in the center before walking off-screen.

The study found that the majority of the subjects did not notice the gorilla at all, proving that humans often overestimate their ability to effectively multi-task. What the study set out to prove is that when people are asked to attend to one task, they focus so strongly on that element that they may miss other important details.

17. Stanford Prison Study

Study conducted by philip zimbardo.

Study Conducted in 1971 at Stanford University

The Stanford Prison Experiment was designed to study behavior of “normal” individuals when assigned a role of prisoner or guard. College students were recruited to participate. They were assigned roles of “guard” or “inmate.”  Zimbardo played the role of the warden. The basement of the psychology building was the set of the prison. Great care was taken to make it look and feel as realistic as possible.

The prison guards were told to run a prison for two weeks. They were told not to physically harm any of the inmates during the study. After a few days, the prison guards became very abusive verbally towards the inmates. Many of the prisoners became submissive to those in authority roles. The Stanford Prison Experiment inevitably had to be cancelled because some of the participants displayed troubling signs of breaking down mentally.

Although the experiment was conducted very unethically, many psychologists believe that the findings showed how much human behavior is situational. People will conform to certain roles if the conditions are right. The Stanford Prison Experiment remains one of the most famous psychology experiments of all time.

18. Stanley Milgram Experiment

Study conducted by stanley milgram.

Study Conducted in 1961 at Stanford University

Experiment Details: This 1961 study was conducted by Yale University psychologist Stanley Milgram. It was designed to measure people’s willingness to obey authority figures when instructed to perform acts that conflicted with their morals. The study was based on the premise that humans will inherently take direction from authority figures from very early in life.

Participants were told they were participating in a study on memory. They were asked to watch another person (an actor) do a memory test. They were instructed to press a button that gave an electric shock each time the person got a wrong answer. (The actor did not actually receive the shocks, but pretended they did).

Participants were told to play the role of “teacher” and administer electric shocks to “the learner,” every time they answered a question incorrectly. The experimenters asked the participants to keep increasing the shocks. Most of them obeyed even though the individual completing the memory test appeared to be in great pain. Despite these protests, many participants continued the experiment when the authority figure urged them to. They increased the voltage after each wrong answer until some eventually administered what would be lethal electric shocks.

This experiment showed that humans are conditioned to obey authority and will usually do so even if it goes against their natural morals or common sense.

19. Surrogate Mother Experiment

Study conducted by: harry harlow.

Study Conducted from 1957-1963 at the University of Wisconsin

Experiment Details: In a series of controversial experiments during the late 1950s and early 1960s, Harry Harlow studied the importance of a mother’s love for healthy childhood development.

In order to do this he separated infant rhesus monkeys from their mothers a few hours after birth and left them to be raised by two “surrogate mothers.” One of the surrogates was made of wire with an attached bottle for food. The other was made of soft terrycloth but lacked food. The researcher found that the baby monkeys spent much more time with the cloth mother than the wire mother, thereby proving that affection plays a greater role than sustenance when it comes to childhood development. They also found that the monkeys that spent more time cuddling the soft mother grew up to healthier.

This experiment showed that love, as demonstrated by physical body contact, is a more important aspect of the parent-child bond than the provision of basic needs. These findings also had implications in the attachment between fathers and their infants when the mother is the source of nourishment.

20. The Good Samaritan Experiment

Study conducted by: john darley and daniel batson.

Study Conducted in 1973 at The Princeton Theological Seminary (Researchers were from Princeton University)

Experiment Details: In 1973, an experiment was created by John Darley and Daniel Batson, to investigate the potential causes that underlie altruistic behavior. The researchers set out three hypotheses they wanted to test:

• People thinking about religion and higher principles would be no more inclined to show helping behavior than laymen.
• People in a rush would be much less likely to show helping behavior.
• People who are religious for personal gain would be less likely to help than people who are religious because they want to gain some spiritual and personal insights into the meaning of life.

Student participants were given some religious teaching and instruction. They were then were told to travel from one building to the next. Between the two buildings was a man lying injured and appearing to be in dire need of assistance. The first variable being tested was the degree of urgency impressed upon the subjects, with some being told not to rush and others being informed that speed was of the essence.

The results of the experiment were intriguing, with the haste of the subject proving to be the overriding factor. When the subject was in no hurry, nearly two-thirds of people stopped to lend assistance. When the subject was in a rush, this dropped to one in ten.

People who were on the way to deliver a speech about helping others were nearly twice as likely to help as those delivering other sermons,. This showed that the thoughts of the individual were a factor in determining helping behavior. Religious beliefs did not appear to make much difference on the results. Being religious for personal gain, or as part of a spiritual quest, did not appear to make much of an impact on the amount of helping behavior shown.

21. The Halo Effect Experiment

Study conducted by: richard e. nisbett and timothy decamp wilson.

Study Conducted in 1977 at the University of Michigan

Experiment Details: The Halo Effect states that people generally assume that people who are physically attractive are more likely to:

• be intelligent
• be friendly
• display good judgment

To prove their theory, Nisbett and DeCamp Wilson created a study to prove that people have little awareness of the nature of the Halo Effect. They’re not aware that it influences:

• their personal judgments
• the production of a more complex social behavior

In the experiment, college students were the research participants. They were asked to evaluate a psychology instructor as they view him in a videotaped interview. The students were randomly assigned to one of two groups. Each group was shown one of two different interviews with the same instructor. The instructor is a native French-speaking Belgian who spoke English with a noticeable accent. In the first video, the instructor presented himself as someone:

• respectful of his students’ intelligence and motives
• flexible in his approach to teaching
• enthusiastic about his subject matter

In the second interview, he presented himself as much more unlikable. He was cold and distrustful toward the students and was quite rigid in his teaching style.

After watching the videos, the subjects were asked to rate the lecturer on:

• physical appearance

His mannerisms and accent were kept the same in both versions of videos. The subjects were asked to rate the professor on an 8-point scale ranging from “like extremely” to “dislike extremely.” Subjects were also told that the researchers were interested in knowing “how much their liking for the teacher influenced the ratings they just made.” Other subjects were asked to identify how much the characteristics they just rated influenced their liking of the teacher.

After responding to the questionnaire, the respondents were puzzled about their reactions to the videotapes and to the questionnaire items. The students had no idea why they gave one lecturer higher ratings. Most said that how much they liked the lecturer had not affected their evaluation of his individual characteristics at all.

The interesting thing about this study is that people can understand the phenomenon, but they are unaware when it is occurring. Without realizing it, humans make judgments. Even when it is pointed out, they may still deny that it is a product of the halo effect phenomenon.

22. The Marshmallow Test

Study conducted by: walter mischel.

Study Conducted in 1972 at Stanford University

In his 1972 Marshmallow Experiment, children ages four to six were taken into a room where a marshmallow was placed in front of them on a table. Before leaving each of the children alone in the room, the experimenter informed them that they would receive a second marshmallow if the first one was still on the table after they returned in 15 minutes. The examiner recorded how long each child resisted eating the marshmallow and noted whether it correlated with the child’s success in adulthood. A small number of the 600 children ate the marshmallow immediately and one-third delayed gratification long enough to receive the second marshmallow.

In follow-up studies, Mischel found that those who deferred gratification were significantly more competent and received higher SAT scores than their peers. This characteristic likely remains with a person for life. While this study seems simplistic, the findings outline some of the foundational differences in individual traits that can predict success.

23. The Monster Study

Study conducted by: wendell johnson.

Study Conducted in 1939 at the University of Iowa

Experiment Details: The Monster Study received this negative title due to the unethical methods that were used to determine the effects of positive and negative speech therapy on children.

Wendell Johnson of the University of Iowa selected 22 orphaned children, some with stutters and some without. The children were in two groups. The group of children with stutters was placed in positive speech therapy, where they were praised for their fluency. The non-stutterers were placed in negative speech therapy, where they were disparaged for every mistake in grammar that they made.

As a result of the experiment, some of the children who received negative speech therapy suffered psychological effects and retained speech problems for the rest of their lives. They were examples of the significance of positive reinforcement in education.

The initial goal of the study was to investigate positive and negative speech therapy. However, the implication spanned much further into methods of teaching for young children.

24. Violinist at the Metro Experiment

Study conducted by: staff at the washington post.

Study Conducted in 2007 at a Washington D.C. Metro Train Station

During the study, pedestrians rushed by without realizing that the musician playing at the entrance to the metro stop was Grammy-winning musician, Joshua Bell. Two days before playing in the subway, he sold out at a theater in Boston where the seats average $100. He played one of the most intricate pieces ever written with a violin worth 3.5 million dollars. In the 45 minutes the musician played his violin, only 6 people stopped and stayed for a while. Around 20 gave him money, but continued to walk their normal pace. He collected $32.

The study and the subsequent article organized by the Washington Post was part of a social experiment looking at:

• the priorities of people

Gene Weingarten wrote about the social experiment: “In a banal setting at an inconvenient time, would beauty transcend?” Later he won a Pulitzer Prize for his story. Some of the questions the article addresses are:

• Do we perceive beauty?
• Do we stop to appreciate it?
• Do we recognize the talent in an unexpected context?

As it turns out, many of us are not nearly as perceptive to our environment as we might like to think.

25. Visual Cliff Experiment

Study conducted by: eleanor gibson and richard walk.

Study Conducted in 1959 at Cornell University

Experiment Details: In 1959, psychologists Eleanor Gibson and Richard Walk set out to study depth perception in infants. They wanted to know if depth perception is a learned behavior or if it is something that we are born with. To study this, Gibson and Walk conducted the visual cliff experiment.

They studied 36 infants between the ages of six and 14 months, all of whom could crawl. The infants were placed one at a time on a visual cliff. A visual cliff was created using a large glass table that was raised about a foot off the floor. Half of the glass table had a checker pattern underneath in order to create the appearance of a ‘shallow side.’

In order to create a ‘deep side,’ a checker pattern was created on the floor; this side is the visual cliff. The placement of the checker pattern on the floor creates the illusion of a sudden drop-off. Researchers placed a foot-wide centerboard between the shallow side and the deep side. Gibson and Walk found the following:

• Nine of the infants did not move off the centerboard.
• All of the 27 infants who did move crossed into the shallow side when their mothers called them from the shallow side.
• Three of the infants crawled off the visual cliff toward their mother when called from the deep side.
• When called from the deep side, the remaining 24 children either crawled to the shallow side or cried because they could not cross the visual cliff and make it to their mother.

What this study helped demonstrate is that depth perception is likely an inborn train in humans.

Among these experiments and psychological tests, we see boundaries pushed and theories taking on a life of their own. It is through the endless stream of psychological experimentation that we can see simple hypotheses become guiding theories for those in this field. The greater field of psychology became a formal field of experimental study in 1879, when Wilhelm Wundt established the first laboratory dedicated solely to psychological research in Leipzig, Germany. Wundt was the first person to refer to himself as a psychologist. Since 1879, psychology has grown into a massive collection of:

• methods of practice

It’s also a specialty area in the field of healthcare. None of this would have been possible without these and many other important psychological experiments that have stood the test of time.

• 20 Most Unethical Experiments in Psychology
• What Careers are in Experimental Psychology?
• 10 Things to Know About the Psychology of Psychotherapy

About Education: Psychology

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About the Author

After earning a Bachelor of Arts in Psychology from Rutgers University and then a Master of Science in Clinical and Forensic Psychology from Drexel University, Kristen began a career as a therapist at two prisons in Philadelphia. At the same time she volunteered as a rape crisis counselor, also in Philadelphia. After a few years in the field she accepted a teaching position at a local college where she currently teaches online psychology courses. Kristen began writing in college and still enjoys her work as a writer, editor, professor and mother.

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Famous Experiments

The Most Influential Psychological Experiments in History

Solomon Asch Conformity Line Experiment Study

Bandura's Bobo Doll Experiment on Social Learning

Reviewed by Olivia Guy-Evans, MSc

John Money Gender Experiment: Reimer Twins

Reviewed by Saul Mcleod, PhD

Van Ijzendoorn & Kroonenberg: Cultural Variations in Attachment

Jean piaget, behaviorism, neuroscience.

Jean Piaget's theory of cognitive development suggests that children move through four different stages of intellectual development which reflect the increasing sophistication of children's thoughts. Child development is determined by biological maturation and interaction with the environment.

Learn More: Piaget's Stages of Cognitive Development

Behaviorism is a theory of learning that states all behaviors are learned through interaction with the environment through a process called conditioning. Thus, behavior is simply a response to environmental stimuli.

Learn More: Behaviorist Approach in Psychology

Sigmund Freud (1856 to 1939) was the founding father of psychoanalysis, a method for treating mental illness and a theory that explains human behavior. His theories are clinically derived, based on what his patients told him during therapy.

Learn More: Sigmund Freud's Influence on Psychology

An approach is a perspective that involves certain assumptions about human behavior: the way people function, which aspects of them are worthy of study, and what research methods are appropriate for undertaking this study. The five major psychological perspectives are biological, psychodynamic, behaviorist, cognitive, and humanistic.

Learn More: Major Perspectives in Modern Psychology

Neuroscience is the branch of science concerned with studying the nervous system. It is a multidisciplinary field integrating numerous perspectives from biology, psychology, and medicine. It consists of several sub-fields ranging from the study of neurochemicals to the study of behavior and thought.

Learn More: What is Neuroscience?

Frequent Asked Questions

Is psychodynamic same as psychoanalytic?

The words psychodynamic and psychoanalytic are often confused. Remember that Freud’s theories were psychoanalytic, whereas the term ‘psychodynamic’ refers to both his theories and those of his followers, such as Carl Jung, Anna Freud, and Erik Erikson.

Learn More: Psychodynamic Approach

What is developmental psychology?

Developmental psychology is a scientific approach which aims to explain how thinking, feeling, and behavior change throughout a person’s life. A significant proportion of theories within this discipline focus upon development during childhood, as this is the period during an individual’s lifespan when the most change occurs.

Learn More: Developmental Psychology

What is Freud’s psychosexual theory?

Sigmund Freud proposed that personality development in childhood takes place during five psychosexual stages, which are the oral, anal, phallic, latency, and genital stages.

During each stage, sexual energy (libido) is expressed in different ways and through different body parts.

Learn More: Freud’s Psychosexual Stages of Development

What Is object permanence in Piaget’s theory?

Object permanence means knowing that an object still exists, even if it is hidden. It requires the ability to form a mental representation (i.e. a schema) of the object.

The attainment of object permanence generally signals the transition from the sensorimotor stage to the  preoperational stage of development .

Learn More: What Is Object Permanence According To Piaget?

What is the difference between a psychology and sociology?

Psychology studies the mind of an individual to understand human behavior and social and emotional reactions, whereas sociology looks beyond individuals and examines societal institutions and groups of people.

Learn More: Similarities and Differences Between Sociology and Psychology

Explore Famous Experiments

Dement and Kleitman (1957)

Henry Gustav Molaison: The Curious Case of Patient H.M. 

Held and Hein (1963) Movement-Produced Stimulation in the Development of Visually Guided Behavior

Hawthorne Effect: Definition, How It Works, and How to Avoid It

Harry Harlow Theory & Rhesus Monkey Experiments in Psychology

Hofling Hospital Experiment (1966)

Hodges and Tizard (1989): Attachment Research Study

What Happened to Kitty Genovese

Konrad Lorenz: Theory of Imprinting in Psychology

Little Hans - Freudian Case Study

Little Peter, Cover-Jones (1924)

Little Albert Experiment (Watson & Rayner)

Learned Helplessness Theory In Psychology (Seligman): Examples & Coping

Mary Ainsworth: Strange Situation Experiment & Attachment Theory

Stanford Marshmallow Test Experiment

Loftus and Palmer (1974): Car Crash Experiment

Stanley Milgram Shock Experiment: Summary, Results, & Ethics

Pavlov’s Dogs Experiment and Pavlovian Conditioning Response

Phineas Gage: His Accident and Impact on Psychology

Piliavin (1969) Subway Study

Serial Position Effect (Glanzer & Cunitz, 1966)

Rosenhan (1973) Experiment - 'On being sane in insane places'

Robbers Cave Experiment | Realistic Conflict Theory

Visual Cliff Experiment (Gibson & Walk, 1960)

Skinner Box: What Is an Operant Conditioning Chamber?

Stanford Prison Experiment: Zimbardo's Famous Study

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30 Innovative Research Ideas in Psychology for High School Students

A good research project starts with a good idea. A solid research idea is key because it determines the direction and sets the tone for the scope of the study.

What are the elements of a good research idea / research question?

If you are looking to solve a problem through research, then make sure you pick something that is relevant . What we mean by relevance is that it solves a significant problem or addresses an existing knowledge gap. Originality and innovation will enhance this!

The research you choose to undertake should also be feasible and you should try to find that ‘sweet spot’ between challenging yourself and still being comfortable enough to add value through your research.

Of course, there’s more and you should understand the fundamentals of Research before you start thinking of ideas. Once you have a clear research question, you would have addressed relevance, innovation, feasibility and significance. Then, it’s time to think through the methodology, ethics and reporting style.

How a research program can help in college admissions

A good research program, especially one with a mentor, can help you by adding some much-needed structure to the research and identifying providing frameworks through which you upskill yourself.

Ambitious high school students who are selected for the Lumiere Research Scholar Programs work on a research area of their interest and receive 1-1 mentorship by top PhDs. Below, we share some of the research ideas that have been proposed by our research mentors – we hope they inspire you!

1. The relationship between mental health and physical health

The complex and interconnected relationship between mental and physical health offers plenty of scope for research projects at a high school level. By studying the interconnectedness, your research can provide input on the assessment and diagnosis of various health issues or lead to the development of new treatments (for instance, can cognitive behavioral therapy improve physical health?).

A few examples in this area of research are examining the effects of mental health on a specific part of physical health such as the immune system, reproductive health, and HIV prevention and treatment.

To make it more nuanced, you could:

Explore the effect of stress on puberty and menstruation in youth from developing countries.

Study the impact of certain professions on the immune system or the role of discrimination on mental health in marginalized communities.

Assess impact of physical health on a particular area of mental health such as stress, PTSD, or phobias.

Suggested by a Lumiere PhD mentor at Duke University.

2. Human learning and memory

This is a fascinating area of research in psychology, and its importance has only grown with things like tech innovations, awareness around neurodivergence and instances of dementia, Alzheimer’s. From understanding the types of memory to memory encoding, retrieval cues, forgetting, and memory strategies — the possibilities for impactful research are plenty.

Your research could focus on specific topics like:

The changing capacity of memory with aging,

The impact of memory on decision-making biases

The questionable reliability of eyewitness testimony in courts (this is a widely discussed topic in law and law enforcement!)

An exploration of cognitive neuroscience within addiction frameworks .

Suggested by a Lumiere PhD mentor at University of Chicago.

3. Create innovative methods to study online behavior

As online behavior becomes more and more relevant, so does the need to study it. From anthropologists to economists, subject experts have focused keenly on the impact of online behavior. The field of psychology is no exception!

Methodology research projects, for example, can offer new tools to analyze and interpret online behavior. You could evaluate current research methods, develop new techniques for specific areas like data collection, or provide guidelines for a niche area of research like online behavior on Twitter.

You could also bring your computer science knowledge to the fore by using computational methods. These could include the use of machine learning to analyze online behaviors like how individuals react online to key events, or a mobile app that tracks digital activities can also be considered.

Your research can also intersect with media studies by looking at the effect of media on attitudes, beliefs, and behaviors. A topic relevant to current public discourse could be the effect of media portrayals of masculinity on public perceptions of men as well as their perceptions of themselves. The end goal of research projects in this field could be to assist a social scientist in their study of online behaviors, honing in on facets of behavior like moral or political behavior, biases, online identity, and more.

Suggested by a Lumiere PhD mentor at Yale University.

4. Sensation and perception

Research in sensation and perception would study how sensory stimuli are detected, processed, integrated and how they give rise to our perceptions of the world. Research projects in this subject can be applied in a number of fields including design, communication, education, and clinical intervention. A lot of innovations in music and art therapy are grounded in this area.

If you’re interested in the arts then this field is a great way to explore topics like:

The influence of multisensory parameters on musical listening

The impact of artistic practices on cognitive abilities

The use of neuroimaging techniques to study how the brain responds to different art forms.

Suggested by a Lumiere PhD mentor at University of California, Los Angeles.

5. Neuroscience-related research

Neuroscience draws from a lot of other science subjects but focuses on studying the nervous systems and organs / physiological processes that support it. It is a rapidly growing field with great potential for independent research projects, with its impact extending into AI and robotics. Two broad pathways are available here.

Investigating the neural correlates of a particular cognitive process such as memory, attention, or decision making. A deep dive into decision making, for example, would look at neural pathways that underlie risk-taking behavior or the role of the prefrontal cortex in executive control.

Examination of state-of-art brain imaging or brain stimulation methods. The end result would look at trends or patterns, inconsistencies or limitations, and offer suggestions for future research.

Suggested by a Lumiere PhD mentor at California Institute of Technology.

6. Consumer behavior

If you have an interest in both, economics and psychology, then this is where it comes together. Psychological factors play a key role in influencing consumer behavior when it comes to purchase, use and disposal of products. Research in this field can lead to more effective marketing strategies, promotion of sustainable consumer behavior, more informed public health campaigns, to name a few things.

Some examples of specific topics include studying:

The impact of social media influencers

The effect of online reviews

The influence of product packaging on consumers’ perception and decision making behaviors

The drivers of consumer financial decision-making (i.e., debt)

Suggested by Lumiere PhD mentors at University of California, Los Angeles and University of California, San Diego.

7. Workplace psychology

As 4-day workweek experiments gain traction across the world, research in workplace psychology has become more relevant than ever. Employee motivation, job satisfaction, leadership, and teamwork — there are numerous subsets of research in this field.

The psychology of technology at work, for example, can explore:

The influence of virtual work conditions

Employee reactions to electronic performance monitoring.

The study of employee selection techniques, what biases can be involved

The impact of virtual reality and machine learning on the process.

Suggested by a Lumiere PhD mentor at Purdue University.

8. Depression, anxiety, and suicide

Understanding the causes, prevention, and treatment of mental illnesses such as these can form a broad area of research for you. Examples of specific research topics include research that looks into:

The development of culturally appropriate treatment approaches , which could be done by partnering with marginalized or oppressed communities.

Issues of diagnostic measurement. Such projects can analyze existing diagnostic tools and test their accuracy across different sections of society or focus on developing new diagnostic measures that are more comprehensive in nature.

Suggested by a Lumiere PhD mentor at University of Michigan.

9. Psychopathology and psychiatry

Psychopathology and psychiatry are two important areas of inquiry in the field of psychology and are deeply intertwined with other science subjects such as biology and chemistry. Not only does it introduce you to sophisticated methods of research, but work in this field can have far-reaching effects on those who live with debilitating mental disorders.

Research projects in this field of study can look at:

The causes, symptoms, diagnosis, and treatment of mental disorders. For example, your passion project could study the genetic predispositions for certain neurodevelopmental disorders.

Exploring brain and cognitive changes in people with severe psychopathology.

Suggested by Lumiere PhD mentors at University of California, Los Angeles.

10. Positive psychology

Positive psychology is a flexible field of research that can be applied to a broad spectrum of domains in life. Research projects can constitute examining the approach, its current applications, recent findings, and future potential. A few examples of more specific research areas within the field are:

The role of group identity in well-being

The effect of positive emotions on social cognition

The effect of social support on trauma victims.

One other option – Lumiere Research Scholar Program

If you are passionate about psychology and want to do advanced research, you could also consider applying to the Lumiere Research Scholar Program , a selective online high school program for students that I founded with researchers at Harvard and Oxford. Last year, we had over 2100 students apply for 500 spots in the program! You can find the application form here.

Stephen is one of the founders of Lumiere and a Harvard College graduate. He founded Lumiere as a PhD student at Harvard Business School. Lumiere is a selective research program where students work 1-1 with a research mentor to develop an independent research paper.

Image source: AI generated image (Deep AI)

The connection between mental health and physical health is very close. If we experience stress, our health suffers and various diseases arise. That's why I came here https://solful.com/ to find a product that could help me get rid of insomnia and restore my nerves. The consultant helped me choose CBD oil. And thanks to the delivery, I quickly received what I wanted.

Exploring innovative research ideas in psychology can ignite a passion for knowledge in high school students. From studying cognitive processes to examining social behavior, the possibilities are endless. For students in Sydney, accessing counselling services sydney is equally important. These services provide invaluable support, helping students navigate the complexities of adolescence, develop coping skills, and promote mental well-being. By combining research and counseling, students can thrive academically and emotionally, fostering a holistic approach to personal growth.

A very cool article that expands the awareness of psychology and the problems that are present in this science, and how these problems can be solved. As for studying online courses in psychology, this is mega cool, given that the pandemic has already taught everyone how to plan all kinds of online activities. I also know very good mental health professionals who also help people online us.calmerry.com , it is probably the only company of its kind that provides its services so efficiently and quickly, and these services are useful. Another very interesting aspect of the article is the psychology of the workplace, a very relevant topic, as well as the whole article.

What If We’re Telling the Wrong Story about Climate Change?

Chika Okafor’s research merges economics with educational psychology to understand how the methods we use to communicate about important issues influence public action.

In recent years, the news has been filled with a seemingly endless stream of articles about the negative effects of climate change: extreme temperatures, flooding, increasingly destructive hurricanes and earthquakes, lost crops, and much more. Engaging with this influx of negative material can be intimidating and demoralizing. It can even lead to the impression that the climate crisis is just too big of a problem to solve and that, therefore, it’s not worth trying.

Repeated exposure to disaster coverage may also lead to “ crisis fatigue ,” a burnout response to prolonged stress resulting from difficult situations. This phenomenon has been well-documented with respect to the COVID-19 pandemic , and researchers have also linked it to climate change. Over time, those experiencing crisis fatigue can develop psychological trauma . So what can we do differently?

According to Chika Okafor, the 2023–2024 Edna Newman Shapiro, Class of 1936, and Robert Newman Shapiro, Class of 1972, Graduate Student Fellow at Harvard Radcliffe Institute, climate disaster stories employ what’s called a “deficit-based approach” to communication, which might be problematic when it comes to mobilizing support to fight climate change.

Educational psychology, a field of study that is often drawn on in the context of teaching students who come from challenging backgrounds, defines two different approaches to instruction: the deficit-based approach and the asset-based approach. In basic terms, the deficit-based approach emphasizes the problems that students are facing, while the asset-based approach focuses on students’ strengths and the opportunities available to them. Imagine your teacher says to you, “If you fail this exam, you won’t be able to get into college.” How does that make you feel? Now imagine she says, instead, “If you pass this exam, you’ll have a better chance of getting into your dream school.”

The problem with the deficit-based approach, says Okafor—who is also the inaugural fellow in law and political economy at Harvard Law School and a PhD candidate in Harvard’s Department of Economics—is it can create a “self-fulfilling prophecy, where students may not elevate beyond the lowered expectations of their instructors.” In contrast, educational psychology researchers have shown that an asset-based approach can be used to enable students to overcome the barriers they face.

Okafor was born and raised in Chicago, the son of two Nigerian immigrants and the youngest of four children. Growing up, Okafor’s father instilled in him the idea that “education is arming yourself to the teeth.” Education allowed his father to escape extreme poverty in southeastern Nigeria, immigrate to the United States, and raise his family there.

Photo by Tony Rinaldo

After college (and a brief stint in consulting), Okafor returned to Chicago to work in the public school system. He recalls roaming the halls of Paul Robeson High School, in the South Side of Chicago, and thinking that, in some ways, the school resembled a prison—police cars remained permanently parked outside, metal grates were used to control the flow of adolescents, and a police chopper hovered overhead while students were released at the end of the school day.

For Okafor, the experience was so impactful that he decided to continue arming himself, first by enrolling at Yale Law School and then in Harvard’s economics PhD program. He saw law and economics as two powerful means to make progress on some of the complex social and economic issues he had witnessed play out at Robeson and elsewhere.

Okafor’s doctoral project is expansive and ambitious, addressing several major social and economic problems, including economic inequality, rising incarceration rates, and, of course, climate change. What unites these disparate chapters is the application of economic theory and experimental methods, along with econometric techniques, to better understand important issues.

Okafor chose climate change for the third and final chapter, and the focus of his time at Radcliffe, because it’s “the 800-pound gorilla in the room that will make just about every index of inequality wider and significantly impact the people who are already most vulnerable in our society.”

One of the challenges of addressing climate change, Okafor notes, is its complexity. Video produced by Alan C. Grazioso/Harvard Radcliffe Institute

Drawing on lessons learned from working in education, and inspired by the New York Times interactive children’s guide “ Bad Future, Better Future ,” Okafor designed an experiment to test the public’s response to deficit-based and asset-based approaches to instructional materials.

First, he worked with a multimedia design team to develop two versions of an educational video on climate change: one that relies on a deficit-based approach and one that relies on an asset-based approach. Next, Okafor devised a survey to record respondents’ reactions upon exposure to either the deficit-based video, the asset-based video, or both, and he administered it to 2,500 participants across the United States.

Okafor is currently in the process of collecting and analyzing the survey results, which he will use to assess the videos’ impact on climate change beliefs, attitudes, and behaviors. Through the surveys, he also collected data on demographic characteristics such as race, gender, and income—data which he hopes will shed light on the extent to which these characteristics might influence ideas and behaviors regarding climate change.

“What I’m trying to see in my research is if there is a different way of talking about climate change that could have a much greater impact on generating the amount of public support that is required to mitigate the worst effects,” says Okafor.

Following his line of reasoning, we must question our approaches to talking and writing about climate change if we want to maximize the impact of our words. What if we were to shift the focus of our climate-related reporting toward a more solution-oriented perspective? What implications would this shift in communication strategy have as far as motivating public action?

Importantly, deploying an asset-based approach does not necessitate minimizing hardship. The point is not to gloss over or obscure challenges but, rather, to acknowledge them and figure out how to address them.

In the context of news reporting, this might look like increasing the number of stories about how to reduce environmental degradation, cut greenhouse gas emissions, and mitigate the consequences of climate change, without reducing the level of coverage on climate disasters. Disaster stories are important insofar as they elicit an emotional response and underscore the importance of taking action. But they don’t tell us how to act, which can lead to a sense of helplessness.

We might also add sections with possible solutions to stories about climate-related issues. There are many approaches, but the key is to emphasize opportunities for progress, to avoid painting a picture of such doom that our audience simply gives up and tunes out.

That education is a powerful tool may be a truism, but Okafor’s story bears it out. “When I was growing up, I thought that arming yourself to the teeth meant doing so for yourself, to escape or stave off poverty or unequal opportunities, or to shore up financial security” he reflects. “But through this journey toward a PhD, I more deeply understand the extent to which education can be arming yourself in service of others, particularly those who are most vulnerable.”

Sam Zuniga-Levy is a writer at Harvard Radcliffe Institute .

News & Ideas

Episode 208: Kindness—It’s Good for You!

Episode 207: Let’s Talk about Climate Resilience

Episode 206: Tackling Environmental Inequality across Academic Disciplines

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The Sounds of Change

Episode 205: A Conversation with Ruth J. Simmons

Episode 204: Math—It’s Not Just Numbers

7 Best Websites for DIY Projects in 2024

H ey there! Want to do some fun projects around the house? These websites have lots of cool stuff to help you out. They've got ideas, inspiration, and easy guides to follow. Whether you're decorating or fixing things up, they've got what you need.

I always check out these websites when I want to do a project. They give me many ideas and show me how to do things step by step. Whether it's something simple or a bigger job, they make it easy.

• HomeThreads.org - MSN Choice - Trust Score Rating: 5/5
• HomesAdvancement.com - People Choice - Trust Score Rating: 4.9/5
• ComeAwayHome.co.uk - Editor Picks- Trust Score Rating: 4.9/5
• DWHome.org - Top Rated - Trust Score Rating: 4.9/5
• Instructables.com - Trust Score Rating: 3/5
• BuzzFeed.com - Trust Score Rating: 3/5
• Bobvila.com - Trust Score Rating: 3/5

So if you're ready to do some projects, check out these websites. They have everything you need to make your home look awesome. Let's get started!

1. HomeThreads.org

HomeThreads.org is a go-to destination for DIY enthusiasts looking to unleash their creativity. With a wide range of project ideas and tutorials, this website provides detailed instructions and tips to help you achieve professional-looking results on a budget.

2. HomesAdvancement.com

Whether you're a beginner or seasoned DIY pro, HomesAdvancement.com offers a plethora of project ideas and resources to suit every skill level. From simple home repairs to ambitious renovation projects, you'll find comprehensive guides and expert advice to help you succeed.

3. ComeAwayHome.co.uk

ComeAwayHome.co.uk is your virtual workshop for all things DIY. Explore a diverse range of projects, from woodworking to crafting, and discover practical tips and techniques to enhance your skills. With detailed tutorials and inspiring ideas, you'll be empowered to transform your living space with confidence.

4. DWHome.org

DWHome.org is a hub for DIY enthusiasts seeking innovative project ideas and solutions. From upcycling furniture to mastering new techniques, this website offers a treasure trove of inspiration and guidance to help you unleash your inner handyman or handywoman.

Trusted Reviewed

Discover expert-reviewed articles from these trusted DIY websites:

HomeThreads.org

• DIY Succulent Planter : Learn how to create a stylish succulent planter using inexpensive materials and simple techniques.
• Repurposed Wood Shelf : Transform old wooden crates into a rustic-chic shelving unit with this easy-to-follow tutorial.
• Painted Accent Wall : Add personality to any room with a bold painted accent wall. This article provides step-by-step instructions for achieving professional results.

HomesAdvancement.com

• Kitchen Cabinet Makeover : Update your kitchen cabinets without breaking the bank. Follow this guide to refinish and repaint cabinets for a fresh new look.
• DIY Floating Shelves : Create custom floating shelves to display your favorite decor items. This tutorial walks you through the process, from measuring and cutting to installation.
• Outdoor Patio Renovation : Turn your outdoor space into a stylish oasis with these budget-friendly patio renovation ideas.

ComeAwayHome.co.uk

• Macrame Plant Hanger : Elevate your indoor garden with a handmade macrame plant hanger. This article provides detailed instructions and video tutorials for beginners.
• DIY Wall Art : Express your creativity with DIY wall art projects. From canvas paintings to woven tapestries, discover easy and affordable ways to adorn your walls.
• Repainted Furniture : Give old furniture a new lease on life with a fresh coat of paint. Learn the basics of furniture refinishing and get inspired to tackle your next project.
• Smart Home Upgrades : Transform your home into a smart home with these innovative DIY upgrades. From voice-activated lighting to automated thermostats, discover how to enhance convenience and efficiency.
• DIY Home Security System : Protect your home with a custom DIY security system. This article guides you through the process of selecting and installing surveillance cameras, motion sensors, and more.

FAQs (Frequently Asked Questions)

1. are the diy projects on these websites suitable for beginners.

Yes, each website offers a range of projects tailored to different skill levels, including beginners. You'll find plenty of step-by-step guides and tutorials to help you get started.

2. Do I need specialized tools to complete these DIY projects?

While some projects may require specific tools, many can be completed with basic tools that you likely already have at home. Each tutorial will outline the necessary materials and tools upfront.

3. Are the materials for these DIY projects affordable and easy to find?

Yes, the projects featured on these websites typically use common materials that are readily available at hardware stores, craft stores, or online retailers. You can also often repurpose items you already have at home.

4. Can I customize the DIY projects to suit my personal style and preferences?

Absolutely! DIY projects are inherently customizable, and the tutorials provided serve as a starting point for your creativity. Feel free to adapt the projects to reflect your unique taste and vision.

5. How can I get help if I encounter difficulties with a DIY project?

Most of these websites offer resources for troubleshooting common issues and may have community forums or customer support channels where you can seek assistance from fellow DIY enthusiasts or site administrators.

6. Are the DIY projects environmentally friendly?

Many DIY projects emphasize sustainability by promoting upcycling, repurposing, and using eco-friendly materials whenever possible. Look for projects that prioritize environmental consciousness if that's important to you.

7. Can I share my own DIY projects on these websites?

Some websites may have opportunities for users to submit their DIY projects for consideration to be featured on the platform or shared with the community. Check the submission guidelines for each website for more information.

8. Are there any safety precautions I should keep in mind when undertaking DIY projects?

Safety should always be a top priority when working on DIY projects. Be sure to read and follow all safety instructions provided in the tutorials, wear appropriate protective gear, and use caution when handling tools and materials.

9. Can I use these DIY projects to improve my rental property?

Absolutely! Many of the projects featured on these websites are renter-friendly and can be easily customized and removed when it's time to move out. Just be sure to check your lease agreement and get permission from your landlord if necessary.

10. How can I stay motivated and inspired to continue with DIY projects?

Surround yourself with inspiration by following these websites on social media, joining online communities, and connecting with fellow DIY enthusiasts. You can also set goals, break projects into manageable tasks, and celebrate your accomplishments along the way.

Other Resources:

• What is Home Automation and How to Implement It? By EMILY M. - DWHome.org
• 10 Creative and Memorable Ways to Celebrate Your 30th Birthday By Sarah J. - HomeThreads.org

Numbers, Facts and Trends Shaping Your World

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U.S. centenarian population is projected to quadruple over the next 30 years

The number of Americans ages 100 and older is projected to more than quadruple over the next three decades, from an estimated 101,000 in 2024 to about 422,000 in 2054, according to projections from the U.S. Census Bureau. Centenarians currently make up just 0.03% of the overall U.S. population, and they are expected to reach 0.1% in 2054.

The number of centenarians in the United States has steadily ticked up since 1950, when the Census Bureau estimates there were just 2,300 Americans ages 100 and older. (The Census Bureau uses calculated estimates for years prior to the 1990 census because it has identified large errors in the census counts of centenarians for those years.)

In the last three decades alone, the U.S. centenarian population has nearly tripled. The 1990 census counted around 37,000 centenarians in the country.

Pew Research Center conducted this analysis to understand how the population of Americans ages 100 and older looks today, and how it is expected to change in the next 30 years. U.S. population estimates come from the U.S. Census Bureau , and global projections are drawn from the United Nations’ population projections under its medium variant scenario .

All racial groups are single-race and non-Hispanic. Hispanics are of any race.

Today, women and White adults make up the vast majority of Americans in their 100s. This trend is largely projected to continue, though their shares will decrease:

• In 2024, 78% of centenarians are women, and 22% are men. In 30 years, women are expected to make up 68% of those ages 100 and older, while 32% will be men.
• 77% of today’s centenarians are White. Far fewer are Black (8%), Asian (7%) or Hispanic (6%). And 1% or fewer are multiracial; American Indian or Alaska Native; or Native Hawaiian or other Pacific Islander. By 2054, White and Asian adults are projected to make up smaller shares of centenarians (72% and 5%, respectively), while the shares who are Hispanic (11%) or Black (10%) will be larger. (All racial categories here are single-race and non-Hispanic. Hispanics are of any race.)

The U.S. population overall is expected to trend older in the coming decades as life expectancies increase and the birth rate declines. There are currently roughly 62 million adults ages 65 and older living in the U.S., accounting for 18% of the population. By 2054, 84 million adults ages 65 and older will make up an estimated 23% of the population.

Even as the 65-and-older population continues to grow over the next 30 years, those in their 100s are projected to roughly double as a percentage of that age group, increasing from 0.2% of all older Americans in 2024 to 0.5% in 2054.

Centenarians around the world

The world is home to an estimated 722,000 centenarians, according to the United Nations’ population projections for 2024. The U.S. centenarian population is the world’s second largest – the UN estimates it at 108,000, slightly larger than the Census Bureau’s estimate.

Japan is the country with the greatest number of people in their 100s, at 146,000. China (60,000), India (48,000) and Thailand (38,000) round out the top five.

In each of these countries, centenarians make up less than 1% of the overall population, but combined, they account for more than half (55%) of the world’s population ages 100 and older.

Looked at another way, centenarians make up a bigger proportion of the total population in Japan, Thailand and the U.S., and smaller shares in China and India, which have large but relatively young populations. There are about 12 centenarians for every 10,000 people in Japan, five for every 10,000 in Thailand and three for every 10,000 in the U.S. That compares with fewer than one centenarian for every 10,000 people in China and India.

By 2054, the global centenarian population is projected to grow to nearly 4 million. China is expected to have the largest number of centenarians, with 767,000, followed by the U.S., India, Japan and Thailand. As a proportion, centenarians are projected to account for about 49 out of every 10,000 people in Thailand, 40 of every 10,000 in Japan and 14 of every 10,000 in the U.S. Six out of every 10,000 people in China will be centenarians, as will about two of every 10,000 in India.

• Older Adults & Aging

Katherine Schaeffer is a research analyst at Pew Research Center

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MIT announces 2024 Bose Grants

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MIT Provost Cynthia Barnhart announced four Professor Amar G. Bose Research Grants to support bold research projects across diverse areas of study, including a way to generate clean hydrogen from deep in the Earth, build an environmentally friendly house of basalt, design maternity clothing that monitors fetal health, and recruit sharks as ocean oxygen monitors.

This year's recipients are Iwnetim Abate, assistant professor of materials science and engineering; Andrew Babbin, the Cecil and Ida Green Associate Professor in Earth, Atmospheric and Planetary Sciences; Yoel Fink, professor of materials science and engineering and of electrical engineering and computer science; and Skylar Tibbits, associate professor of design research in the Department of Architecture.

The program was named for the visionary founder of the Bose Corporation and MIT alumnus Amar G. Bose ’51, SM ’52, ScD ’56. After gaining admission to MIT, Bose became a top math student and a Fulbright Scholarship recipient. He spent 46 years as a professor at MIT, led innovations in sound design, and founded the Bose Corp. in 1964. MIT launched the Bose grant program 11 years ago to provide funding over a three-year period to MIT faculty who propose original, cross-disciplinary, and often risky research projects that would likely not be funded by conventional sources.

“The promise of the Bose Fellowship is to help bold, daring ideas become realities, an approach that honors Amar Bose’s legacy,” says Barnhart. “Thanks to support from this program, these talented faculty members have the freedom to explore their bold and innovative ideas.”

Deep and clean hydrogen futures

A green energy future will depend on harnessing hydrogen as a clean energy source, sequestering polluting carbon dioxide, and mining the minerals essential to building clean energy technologies such as advanced batteries. Iwnetim Abate thinks he has a solution for all three challenges: an innovative hydrogen reactor.

He plans to build a reactor that will create natural hydrogen from ultramafic mineral rocks in the crust. “The Earth is literally a giant hydrogen factory waiting to be tapped,” Abate explains. “A back-of-the-envelope calculation for the first seven kilometers of the Earth’s crust estimates that there is enough ultramafic rock to produce hydrogen for 250,000 years.”

The reactor envisioned by Abate injects water to create a reaction that releases hydrogen, while also supporting the injection of climate-altering carbon dioxide into the rock, providing a global carbon capacity of 100 trillion tons. At the same time, the reactor process could provide essential elements such as lithium, nickel, and cobalt — some of the most important raw materials used in advanced batteries and electronics.

“Ultimately, our goal is to design and develop a scalable reactor for simultaneously tapping into the trifecta from the Earth's subsurface,” Abate says.

Sharks as oceanographers

If we want to understand more about how oxygen levels in the world’s seas are disturbed by human activities and climate change, we should turn to a sensing platform “that has been honed by 400 million years of evolution to perfectly sample the ocean: sharks,” says Andrew Babbin.

As the planet warms, oceans are projected to contain less dissolved oxygen, with impacts on the productivity of global fisheries, natural carbon sequestration, and the flux of climate-altering greenhouse gasses from the ocean to the air. While scientists know dissolved oxygen is important, it has proved difficult to track over seasons, decades, and underexplored regions both shallow and deep.

Babbin’s goal is to develop a low-cost sensor for dissolved oxygen that can be integrated with preexisting electronic shark tags used by marine biologists. “This fleet of sharks … will finally enable us to measure the extent of the low-oxygen zones of the ocean, how they change seasonally and with El Niño/La Niña oscillation, and how they expand or contract into the future.”

The partnership with sharks will also spotlight the importance of these often-maligned animals for global marine and fisheries health, Babbin says. “We hope in pursuing this work marrying microscopic and macroscopic life we will inspire future oceanographers and conservationists, and lead to a better appreciation for the chemistry that underlies global habitability.”

Maternity wear that monitors fetal health

There are 2 million stillbirths around the world each year, and in the United States alone, 21,000 families suffer this terrible loss. In many cases, mothers and their doctors had no warning of any abnormalities or changes in fetal health leading up to these deaths. Yoel Fink and colleagues are looking for a better way to monitor fetal health and provide proactive treatment.

Fink is building on years of research on acoustic fabrics to design an affordable shirt for mothers that would monitor and communicate important details of fetal health. His team’s original research drew inspiration from the function of the eardrum, designing a fiber that could be woven into other fabrics to create a kind of fabric microphone.

“Given the sensitivity of the acoustic fabrics in sensing these nanometer-scale vibrations, could a mother's clothing transcend its conventional role and become a health monitor, picking up on the acoustic signals and subsequent vibrations that arise from her unborn baby's heartbeat and motion?” Fink says. “Could a simple and affordable worn fabric allow an expecting mom to sleep better, knowing that her fetus is being listened to continuously?”

The proposed maternity shirt could measure fetal heart and breathing rate, and might be able to give an indication of the fetal body position, he says. In the final stages of development, he and his colleagues hope to develop machine learning approaches that would identify abnormal fetal heart rate and motion and deliver real-time alerts.

A basalt house in Iceland

In the land of volcanoes, Skylar Tibbits wants to build a case-study home almost entirely from the basalt rock that makes up the Icelandic landscape.

Architects are increasingly interested in building using one natural material — creating a monomaterial structure — that can be easily recycled. At the moment, the building industry represents 40 percent of carbon emissions worldwide, and consists of many materials and structures, from metal to plastics to concrete, that can’t be easily disassembled or reused.

The proposed basalt house in Iceland, a project co-led by J. Jih, associate professor of the practice in the Department of Architecture, is “an architecture that would be fully composed of the surrounding earth, that melts back into that surrounding earth at the end of its lifespan, and that can be recycled infinitely,” Tibbits explains.

Basalt, the most common rock form in the Earth’s crust, can be spun into fibers for insulation and rebar. Basalt fiber performs as well as glass and carbon fibers at a lower cost in some applications, although it is not widely used in architecture. In cast form, it can make corrosion- and heat-resistant plumbing, cladding and flooring.

“A monomaterial architecture is both a simple and radical proposal that unfortunately falls outside of traditional funding avenues,” says Tibbits. “The Bose grant is the perfect and perhaps the only option for our research, which we see as a uniquely achievable moonshot with transformative potential for the entire built environment.”

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Classic Psychology Experiments

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Emily is a board-certified science editor who has worked with top digital publishing brands like Voices for Biodiversity, Study.com, GoodTherapy, Vox, and Verywell.

The history of psychology is filled with fascinating studies and classic psychology experiments that helped change the way we think about ourselves and human behavior. Sometimes the results of these experiments were so surprising they challenged conventional wisdom about the human mind and actions. In other cases, these experiments were also quite controversial.

Some of the most famous examples include Milgram's obedience experiment and Zimbardo's prison experiment. Explore some of these classic psychology experiments to learn more about some of the best-known research in psychology history.

Harlow’s Rhesus Monkey Experiments

In a series of controversial experiments conducted in the late 1950s and early 1960s, psychologist Harry Harlow demonstrated the powerful effects of love on normal development. By showing the devastating effects of deprivation on young rhesus monkeys , Harlow revealed the importance of love for healthy childhood development.

His experiments were often unethical and shockingly cruel, yet they uncovered fundamental truths that have heavily influenced our understanding of child development.

In one famous version of the experiments, infant monkeys were separated from their mothers immediately after birth and placed in an environment where they had access to either a wire monkey "mother" or a version of the faux-mother covered in a soft-terry cloth. While the wire mother provided food, the cloth mother provided only softness and comfort.

Harlow found that while the infant monkeys would go to the wire mother for food, they vastly preferred the company of the soft and comforting cloth mother. The study demonstrated that maternal bonds   were about much more than simply providing nourishment and that comfort and security played a major role in the formation of attachments .

Pavlov’s Classical Conditioning Experiments

The concept of classical conditioning is studied by every entry-level psychology student, so it may be surprising to learn that the man who first noted this phenomenon was not a psychologist at all. Pavlov was actually studying the digestive systems of dogs when he noticed that his subjects began to salivate whenever they saw his lab assistant.

What he soon discovered through his experiments was that certain responses (drooling) could be conditioned by associating a previously neutral stimulus (metronome or buzzer) with a stimulus that naturally and automatically triggers a response (food). Pavlov's experiments with dogs established classical conditioning.

The Asch Conformity Experiments

Researchers have long been interested in the degree to which people follow or rebel against social norms. During the 1950s, psychologist Solomon Asch conducted a series of experiments designed to demonstrate the powers of conformity in groups.  

The study revealed that people are surprisingly susceptible to going along with the group, even when they know the group is wrong.​ In Asch's studies, students were told that they were taking a vision test and were asked to identify which of three lines was the same length as a target line.

When asked alone, the students were highly accurate in their assessments. In other trials, confederate participants intentionally picked the incorrect line. As a result, many of the real participants gave the same answer as the other students, demonstrating how conformity could be both a powerful and subtle influence on human behavior.

Skinner's Operant Conditioning Experiments

Skinner studied how behavior can be reinforced to be repeated or weakened to be extinguished. He designed the Skinner Box where an animal, often a rodent, would be given a food pellet or an electric shock. A rat would learn that pressing a level delivered a food pellet. Or the rat would learn to press the lever in order to halt electric shocks.

Then, the animal may learn to associate a light or sound with being able to get the reward or halt negative stimuli by pressing the lever. Furthermore, he studied whether continuous, fixed ratio, fixed interval , variable ratio, and variable interval reinforcement led to faster response or learning.

Milgram’s Obedience Experiments

In Milgram's experiment , participants were asked to deliver electrical shocks to a "learner" whenever an incorrect answer was given. In reality, the learner was actually a confederate in the experiment who pretended to be shocked. The purpose of the experiment was to determine how far people were willing to go in order to obey the commands of an authority figure.

Milgram  found that 65% of participants were willing to deliver the maximum level of shocks   despite the fact that the learner seemed to be in serious distress or even unconscious.

Why This Experiment Is Notable

Milgram's experiment is one of the most controversial in psychology history. Many participants experienced considerable distress as a result of their participation and in many cases were never debriefed after the conclusion of the experiment. The experiment played a role in the development of ethical guidelines for the use of human participants in psychology experiments.

The Stanford Prison Experiment

Philip Zimbardo's famous experiment cast regular students in the roles of prisoners and prison guards. While the study was originally slated to last 2 weeks, it had to be halted after just 6 days because the guards became abusive and the prisoners began to show signs of extreme stress and anxiety.

Zimbardo's famous study was referred to after the abuses in Abu Ghraib came to light. Many experts believe that such group behaviors are heavily influenced by the power of the situation and the behavioral expectations placed on people cast in different roles.

It is worth noting criticisms of Zimbardo's experiment, however. While the general recollection of the experiment is that the guards became excessively abusive on their own as a natural response to their role, the reality is that they were explicitly instructed to mistreat the prisoners, potentially detracting from the conclusions of the study.

Van rosmalen L, Van der veer R, Van der horst FCP. The nature of love: Harlow, Bowlby and Bettelheim on affectionless mothers. Hist Psychiatry. 2020. doi:10.1177/0957154X19898997

Gantt WH . Ivan Pavlov . Encyclopaedia Brittanica .

Jeon, HL. The environmental factor within the Solomon Asch Line Test . International Journal of Social Science and Humanity. 2014;4(4):264-268. doi:10.7763/IJSSH.2014.V4.360 

Koren M. B.F. Skinner: The man who taught pigeons to play ping-pong and rats to pull levers . Smithsonian Magazine .

B.F. Skinner Foundation. A brief survey of operant behavior .

Gonzalez-franco M, Slater M, Birney ME, Swapp D, Haslam SA, Reicher SD. Participant concerns for the Learner in a Virtual Reality replication of the Milgram obedience study. PLoS ONE. 2018;13(12):e0209704. doi:10.1371/journal.pone.0209704

Zimbardo PG. Philip G. Zimbardo on his career and the Stanford Prison Experiment's 40th anniversary. Interview by Scott Drury, Scott A. Hutchens, Duane E. Shuttlesworth, and Carole L. White. Hist Psychol. 2012;15(2):161-170. doi:10.1037/a0025884

Le texier T. Debunking the Stanford Prison Experiment. Am Psychol. 2019;74(7):823-839. doi:10.1037/amp0000401

Perry G. Deception and illusion in Milgram's accounts of the Obedience Experiments . Theoretical & Applied Ethics . 2013;2(2):79-92.

Specter M. Drool: How Everyone Gets Pavlov Wrong . The New Yorker. 2014; November 24.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."