difference between research paper and writing

• Master Your Homework
• Do My Homework

Research Paper vs. Research Article: What’s the Difference?

Research papers and research articles are two different forms of academic writing, with distinct characteristics. Although they share some similarities in terms of format and purpose, there are important distinctions between the two types that should be understood by students who wish to write either form effectively. This article will explain the differences between a research paper and a research article, outlining their unique features and applications. Furthermore, it will offer guidance on how best to approach each type when crafting an effective piece for scholarly consumption.

I. Introduction to Research Paper vs. Research Article

Ii. defining a research paper and a research article, iii. comparative analysis of structure, content, and writing styles between the two types of scholarly documents, iv. pros & cons of conducting either a formal or an informal study, v. concluding remarks: how to choose between the different approaches when completing academic assignments, vi. limitations in comparing these texts as distinct forms of scholarly outputs, vii. future directions for understanding similarities & differences across all kinds of academic writings.

Research Paper vs. Research Article

The academic world is full of a variety of different writing styles, each with its own unique purpose and goals. Two particularly important forms are the research paper and the research article. Each has their own distinct features that make them uniquely suited to certain tasks within academia – let’s take a closer look at what sets them apart from one another!

A research paper , as you might expect, presents in-depth analysis on an issue or topic using evidence gathered through primary sources such as field work, laboratory experiments, surveys, interviews etc., whereas a research article , typically published in scholarly journals or online publications like websites & blogs addresses specific findings derived from secondary sources like books or other papers related to said subject matter. The former requires more effort & dedication from the author due to it being time consuming & involving careful structuring along with rigorous citation format adherence; while the latter focuses mainly on providing succinct yet comprehensive overviews regarding topics which have already been extensively discussed by experts in depth previously elsewhere – taking into account present day developments/breakthroughs if necessary before finally offering opinionated conclusions pertaining to said subjects.

Exploring the Characteristics of a Research Paper and Article

• Research paper:
• Research article:

A research paper is an extended form of writing that presents and supports an argument on a particular topic. It provides evidence for the opinion or idea in the form of facts, data, analysis, opinions from authorities in specific fields etc. The objective is to make original claims based on careful evaluation of information available on a given subject. It requires significant effort as one needs to be able to distill complex topics into concisely articulated points that are supported by solid evidence.

On the other hand, a research article is usually written for publication either online or printed through journals or magazines. These articles have been peer-reviewed which means they follow certain academic standards established within their discipline while presenting factual conclusions related to ongoing debates and arguments raised by preceding works. They generally provide new insight into existing knowledge rather than build upon it using more primary sources such as surveys and experiments conducted independently by authors themselves.

Comparison of Structure, Content and Writing Styles between Research Papers and Articles For the purpose of scholarly communication, both research papers and articles play a vital role. Though there is no hard-and-fast rule that distinguishes them from each other in terms of structure or content, they usually differ significantly in their style. In comparison to research papers, articles typically have a much smaller length requirement. They can range anywhere from 1 page to as many as 30 pages depending on the journal guidelines – making them more accessible for readers who are seeking concise summaries with quick insights into topics. On the contrary, research papers tend to be longer documents that delve deeper into an issue by providing extensive background information; detailed analysis; arguments bolstered by sources such as peer-reviewed journals or interviews; conclusion sections tying up any loose ends etc.

• Research Papers: Longer documents which provide extensive coverage about an issue.
• Articles: Short pieces covering high level overviews without going too deep.

When it comes down to writing styles used for these two types of documents – Authors generally follow formal academic language while creating research paper whereas article writers tend to use more casual tones in order to appeal wider audience groups. Additionally authors will often adopt conversational elements like anecdotes when crafting articles so that readers can get better understanding about specific points being discussed within context.

Formal vs. Informal Study: A Critical Analysis The choice between conducting a formal or informal study may be difficult for researchers due to the advantages and drawbacks of each approach. Depending on their research topic, scientists must carefully weigh up the pros and cons before deciding which course of action is most suitable for them.

A formal study , as conducted in many research papers and articles, often requires more time-consuming effort from researchers than an informal one because it involves using specific methodologies such as surveys, interviews, experiments etc., gathering quantitative data that needs to be statistically analyzed by employing reliable statistical methods. On the other hand, a formal investigation allows researchers to obtain objective information from well-defined populations about predetermined variables through systematic procedures that can yield precise results with larger external validity – making it possible to make generalizations beyond those studied in this particular case.

Conversely, an informal study , also known as participant observation or field work requires less structured approaches where collecting qualitative data is usually achieved via conversations with informants instead of strict instrumentations; thus allowing greater interaction between researcher and subjects resulting in increased understanding of contextually situated phenomena within its natural setting rather than artificially created ones used in laboratories’ studies – leading to deeper insights into complex social processes . Also noteworthy is its lower financial cost when compared against highly expensive equipment needed for undertaking large scale scientific investigations.. However despite yielding valuable first person accounts which might not have been obtained elsewhere , such observations are sometimes criticized due challenges related accuracy given reliance on subjective interpretations while generating evidence without significant use of control variables .

Selecting the Optimal Approach for Academic Assignments When it comes to completing academic assignments, there are various approaches one can take. In order to ensure success and optimal results, it is important that students consider all of their options carefully before making a choice.

Research papers often require extensive research and careful consideration when selecting an approach. Using primary sources such as books or peer-reviewed articles may be more reliable in comparison to secondary sources such as websites or blogs which are usually less credible due to lack of credibility checks by professionals within the field. Additionally, data analysis can help strengthen arguments while also adding clarity to any work produced during the course of completion; however, understanding how best utilize this analytical tool effectively requires additional practice and experience on behalf of the student undertaking it. For research articles, detailed knowledge about particular topics may lead towards better outcomes but general familiarity with content areas is sufficient enough for success here too. The key lies in being able identify appropriate methods quickly through use critical thinking skills coupled with clear objectives pertaining specifically each assignment itself at hand prior its execution – this way mistakes are avoided thus delivering quality results each time..

Comparative Analyses of Scholarly Outputs

• Scholarly output, such as research papers and articles, are subject to scrutiny when attempting to make comparisons.
• Due to the differences between these two types of outputs, it can be difficult or impossible to achieve a true comparison.

Comparing scholarly outputs is not always possible due to their distinct forms. Research papers typically have more depth than an article on the same topic which may mean that even though both documents might discuss similar topics in some aspects they will differ greatly in others. Furthermore, the format of each type of document contributes further complexities; for example, a research paper is often much longer and requires extensive background information before any conclusions can be drawn while articles tend towards presenting results with little room left for interpretation. The style used by authors also adds difficulty; many times research papers include complex jargon necessary for understanding specific points whereas an article strives for simplicity so its target audience can comprehend all material without excessive effort. These limitations prevent proper analysis from being done since one piece could provide certain details while another provides only bits related thereto leading readers into confusion if attempting to compare them directly despite intentions otherwise. It then becomes clear that academic pieces should instead remain separate entities rather than compared against each other since doing so would lead only too frustration given current constraints therein found.

Exploring the Similarities and Differences Between Academic Writings

As our understanding of academic writings continues to evolve, so too must our appreciation for both their similarities and differences. From research papers to research articles, it is important to consider how each one contributes unique insight into a given topic or issue.

The research paper and research article may look similar on the surface, but upon closer inspection one can see significant differences in their format, purpose, and audience. The key distinctions between these two forms of written work are scope of content covered, type of analysis used to draw conclusions or develop knowledge from data or evidence presented, and intended readership. Ultimately, understanding the essential characteristics that distinguish a research paper from a research article is beneficial for anyone who produces such texts as it will help them craft an effective product that aligns with its desired purposes.

Research and Writing at Graduate Level

Any program leading to the Master of Arts fosters the student’s transition into a profession. Students learn how to discuss ideas in a particular discipline as professionals among professionals. To attain this goal, graduate students routinely engage in research and writing where correct documentation of sources signifies much more than the avoidance of plagiarism. Research and writing about scholarly discoveries signal the graduate student’s membership in a professional community.

Thus research papers written for graduate courses will differ from those written for undergraduate courses. The graduate student’s research paper will sustain deeper analysis of a topic at greater length and with narrower focus than the undergraduate paper. Graduate research papers will employ a significant scope of sources that are current, authoritative, and recognized within a particular area of study. Additionally, the graduate research paper demonstrates the student’s ability to identify appropriate topics related to course material and to exercise independence in both research and writing.

Graduate-level papers will also demonstrate the student’s ability to document all sources accurately and to edit carefully for standard American English. Students should refer to  The MLA Handbook for Writers of Research Papers , 8th Edition (ISBN 978-1-60329-262-7), if they have questions about documentation, though some courses may ask students to follow the Chicago Manual of Style or the Publication Manual of the American Psychological Association .

To prepare students for the level of research and writing required in graduate courses, professors incorporate into their classes instruction in bibliography and methodology appropriate to course content. Professors will assist students to access and learn how to access and evaluate scholarly materials. Professors may further provide rubrics or specific requirements about the nature and originality of the research and writing expected in fulfillment of a particular assignment.

For information on academic misconduct and plagiarism, see the Honor Code section of the Graduate Student Handbook.

Literature Reviews

What this handout is about.

This handout will explain what literature reviews are and offer insights into the form and construction of literature reviews in the humanities, social sciences, and sciences.

Introduction

OK. You’ve got to write a literature review. You dust off a novel and a book of poetry, settle down in your chair, and get ready to issue a “thumbs up” or “thumbs down” as you leaf through the pages. “Literature review” done. Right?

Wrong! The “literature” of a literature review refers to any collection of materials on a topic, not necessarily the great literary texts of the world. “Literature” could be anything from a set of government pamphlets on British colonial methods in Africa to scholarly articles on the treatment of a torn ACL. And a review does not necessarily mean that your reader wants you to give your personal opinion on whether or not you liked these sources.

What is a literature review, then?

A literature review discusses published information in a particular subject area, and sometimes information in a particular subject area within a certain time period.

A literature review can be just a simple summary of the sources, but it usually has an organizational pattern and combines both summary and synthesis. A summary is a recap of the important information of the source, but a synthesis is a re-organization, or a reshuffling, of that information. It might give a new interpretation of old material or combine new with old interpretations. Or it might trace the intellectual progression of the field, including major debates. And depending on the situation, the literature review may evaluate the sources and advise the reader on the most pertinent or relevant.

But how is a literature review different from an academic research paper?

The main focus of an academic research paper is to develop a new argument, and a research paper is likely to contain a literature review as one of its parts. In a research paper, you use the literature as a foundation and as support for a new insight that you contribute. The focus of a literature review, however, is to summarize and synthesize the arguments and ideas of others without adding new contributions.

Why do we write literature reviews?

Literature reviews provide you with a handy guide to a particular topic. If you have limited time to conduct research, literature reviews can give you an overview or act as a stepping stone. For professionals, they are useful reports that keep them up to date with what is current in the field. For scholars, the depth and breadth of the literature review emphasizes the credibility of the writer in his or her field. Literature reviews also provide a solid background for a research paper’s investigation. Comprehensive knowledge of the literature of the field is essential to most research papers.

Who writes these things, anyway?

Literature reviews are written occasionally in the humanities, but mostly in the sciences and social sciences; in experiment and lab reports, they constitute a section of the paper. Sometimes a literature review is written as a paper in itself.

Let’s get to it! What should I do before writing the literature review?

If your assignment is not very specific, seek clarification from your instructor:

• Roughly how many sources should you include?
• What types of sources (books, journal articles, websites)?
• Should you summarize, synthesize, or critique your sources by discussing a common theme or issue?
• Should you evaluate your sources?
• Should you provide subheadings and other background information, such as definitions and/or a history?

Find models

Look for other literature reviews in your area of interest or in the discipline and read them to get a sense of the types of themes you might want to look for in your own research or ways to organize your final review. You can simply put the word “review” in your search engine along with your other topic terms to find articles of this type on the Internet or in an electronic database. The bibliography or reference section of sources you’ve already read are also excellent entry points into your own research.

Narrow your topic

There are hundreds or even thousands of articles and books on most areas of study. The narrower your topic, the easier it will be to limit the number of sources you need to read in order to get a good survey of the material. Your instructor will probably not expect you to read everything that’s out there on the topic, but you’ll make your job easier if you first limit your scope.

Keep in mind that UNC Libraries have research guides and to databases relevant to many fields of study. You can reach out to the subject librarian for a consultation: https://library.unc.edu/support/consultations/ .

And don’t forget to tap into your professor’s (or other professors’) knowledge in the field. Ask your professor questions such as: “If you had to read only one book from the 90’s on topic X, what would it be?” Questions such as this help you to find and determine quickly the most seminal pieces in the field.

Consider whether your sources are current

Some disciplines require that you use information that is as current as possible. In the sciences, for instance, treatments for medical problems are constantly changing according to the latest studies. Information even two years old could be obsolete. However, if you are writing a review in the humanities, history, or social sciences, a survey of the history of the literature may be what is needed, because what is important is how perspectives have changed through the years or within a certain time period. Try sorting through some other current bibliographies or literature reviews in the field to get a sense of what your discipline expects. You can also use this method to consider what is currently of interest to scholars in this field and what is not.

Strategies for writing the literature review

Find a focus.

A literature review, like a term paper, is usually organized around ideas, not the sources themselves as an annotated bibliography would be organized. This means that you will not just simply list your sources and go into detail about each one of them, one at a time. No. As you read widely but selectively in your topic area, consider instead what themes or issues connect your sources together. Do they present one or different solutions? Is there an aspect of the field that is missing? How well do they present the material and do they portray it according to an appropriate theory? Do they reveal a trend in the field? A raging debate? Pick one of these themes to focus the organization of your review.

Convey it to your reader

A literature review may not have a traditional thesis statement (one that makes an argument), but you do need to tell readers what to expect. Try writing a simple statement that lets the reader know what is your main organizing principle. Here are a couple of examples:

The current trend in treatment for congestive heart failure combines surgery and medicine. More and more cultural studies scholars are accepting popular media as a subject worthy of academic consideration.

Consider organization

You’ve got a focus, and you’ve stated it clearly and directly. Now what is the most effective way of presenting the information? What are the most important topics, subtopics, etc., that your review needs to include? And in what order should you present them? Develop an organization for your review at both a global and local level:

First, cover the basic categories

Just like most academic papers, literature reviews also must contain at least three basic elements: an introduction or background information section; the body of the review containing the discussion of sources; and, finally, a conclusion and/or recommendations section to end the paper. The following provides a brief description of the content of each:

• Introduction: Gives a quick idea of the topic of the literature review, such as the central theme or organizational pattern.
• Body: Contains your discussion of sources and is organized either chronologically, thematically, or methodologically (see below for more information on each).
• Conclusions/Recommendations: Discuss what you have drawn from reviewing literature so far. Where might the discussion proceed?

Organizing the body

Once you have the basic categories in place, then you must consider how you will present the sources themselves within the body of your paper. Create an organizational method to focus this section even further.

To help you come up with an overall organizational framework for your review, consider the following scenario:

You’ve decided to focus your literature review on materials dealing with sperm whales. This is because you’ve just finished reading Moby Dick, and you wonder if that whale’s portrayal is really real. You start with some articles about the physiology of sperm whales in biology journals written in the 1980’s. But these articles refer to some British biological studies performed on whales in the early 18th century. So you check those out. Then you look up a book written in 1968 with information on how sperm whales have been portrayed in other forms of art, such as in Alaskan poetry, in French painting, or on whale bone, as the whale hunters in the late 19th century used to do. This makes you wonder about American whaling methods during the time portrayed in Moby Dick, so you find some academic articles published in the last five years on how accurately Herman Melville portrayed the whaling scene in his novel.

Now consider some typical ways of organizing the sources into a review:

• Chronological: If your review follows the chronological method, you could write about the materials above according to when they were published. For instance, first you would talk about the British biological studies of the 18th century, then about Moby Dick, published in 1851, then the book on sperm whales in other art (1968), and finally the biology articles (1980s) and the recent articles on American whaling of the 19th century. But there is relatively no continuity among subjects here. And notice that even though the sources on sperm whales in other art and on American whaling are written recently, they are about other subjects/objects that were created much earlier. Thus, the review loses its chronological focus.
• By publication: Order your sources by publication chronology, then, only if the order demonstrates a more important trend. For instance, you could order a review of literature on biological studies of sperm whales if the progression revealed a change in dissection practices of the researchers who wrote and/or conducted the studies.
• By trend: A better way to organize the above sources chronologically is to examine the sources under another trend, such as the history of whaling. Then your review would have subsections according to eras within this period. For instance, the review might examine whaling from pre-1600-1699, 1700-1799, and 1800-1899. Under this method, you would combine the recent studies on American whaling in the 19th century with Moby Dick itself in the 1800-1899 category, even though the authors wrote a century apart.
• Thematic: Thematic reviews of literature are organized around a topic or issue, rather than the progression of time. However, progression of time may still be an important factor in a thematic review. For instance, the sperm whale review could focus on the development of the harpoon for whale hunting. While the study focuses on one topic, harpoon technology, it will still be organized chronologically. The only difference here between a “chronological” and a “thematic” approach is what is emphasized the most: the development of the harpoon or the harpoon technology.But more authentic thematic reviews tend to break away from chronological order. For instance, a thematic review of material on sperm whales might examine how they are portrayed as “evil” in cultural documents. The subsections might include how they are personified, how their proportions are exaggerated, and their behaviors misunderstood. A review organized in this manner would shift between time periods within each section according to the point made.
• Methodological: A methodological approach differs from the two above in that the focusing factor usually does not have to do with the content of the material. Instead, it focuses on the “methods” of the researcher or writer. For the sperm whale project, one methodological approach would be to look at cultural differences between the portrayal of whales in American, British, and French art work. Or the review might focus on the economic impact of whaling on a community. A methodological scope will influence either the types of documents in the review or the way in which these documents are discussed. Once you’ve decided on the organizational method for the body of the review, the sections you need to include in the paper should be easy to figure out. They should arise out of your organizational strategy. In other words, a chronological review would have subsections for each vital time period. A thematic review would have subtopics based upon factors that relate to the theme or issue.

Sometimes, though, you might need to add additional sections that are necessary for your study, but do not fit in the organizational strategy of the body. What other sections you include in the body is up to you. Put in only what is necessary. Here are a few other sections you might want to consider:

• Current Situation: Information necessary to understand the topic or focus of the literature review.
• History: The chronological progression of the field, the literature, or an idea that is necessary to understand the literature review, if the body of the literature review is not already a chronology.
• Methods and/or Standards: The criteria you used to select the sources in your literature review or the way in which you present your information. For instance, you might explain that your review includes only peer-reviewed articles and journals.

Questions for Further Research: What questions about the field has the review sparked? How will you further your research as a result of the review?

Begin composing

Once you’ve settled on a general pattern of organization, you’re ready to write each section. There are a few guidelines you should follow during the writing stage as well. Here is a sample paragraph from a literature review about sexism and language to illuminate the following discussion:

However, other studies have shown that even gender-neutral antecedents are more likely to produce masculine images than feminine ones (Gastil, 1990). Hamilton (1988) asked students to complete sentences that required them to fill in pronouns that agreed with gender-neutral antecedents such as “writer,” “pedestrian,” and “persons.” The students were asked to describe any image they had when writing the sentence. Hamilton found that people imagined 3.3 men to each woman in the masculine “generic” condition and 1.5 men per woman in the unbiased condition. Thus, while ambient sexism accounted for some of the masculine bias, sexist language amplified the effect. (Source: Erika Falk and Jordan Mills, “Why Sexist Language Affects Persuasion: The Role of Homophily, Intended Audience, and Offense,” Women and Language19:2).

Use evidence

In the example above, the writers refer to several other sources when making their point. A literature review in this sense is just like any other academic research paper. Your interpretation of the available sources must be backed up with evidence to show that what you are saying is valid.

Be selective

Select only the most important points in each source to highlight in the review. The type of information you choose to mention should relate directly to the review’s focus, whether it is thematic, methodological, or chronological.

Use quotes sparingly

Falk and Mills do not use any direct quotes. That is because the survey nature of the literature review does not allow for in-depth discussion or detailed quotes from the text. Some short quotes here and there are okay, though, if you want to emphasize a point, or if what the author said just cannot be rewritten in your own words. Notice that Falk and Mills do quote certain terms that were coined by the author, not common knowledge, or taken directly from the study. But if you find yourself wanting to put in more quotes, check with your instructor.

Summarize and synthesize

Remember to summarize and synthesize your sources within each paragraph as well as throughout the review. The authors here recapitulate important features of Hamilton’s study, but then synthesize it by rephrasing the study’s significance and relating it to their own work.

Keep your own voice

While the literature review presents others’ ideas, your voice (the writer’s) should remain front and center. Notice that Falk and Mills weave references to other sources into their own text, but they still maintain their own voice by starting and ending the paragraph with their own ideas and their own words. The sources support what Falk and Mills are saying.

Use caution when paraphrasing

When paraphrasing a source that is not your own, be sure to represent the author’s information or opinions accurately and in your own words. In the preceding example, Falk and Mills either directly refer in the text to the author of their source, such as Hamilton, or they provide ample notation in the text when the ideas they are mentioning are not their own, for example, Gastil’s. For more information, please see our handout on plagiarism .

Revise, revise, revise

Draft in hand? Now you’re ready to revise. Spending a lot of time revising is a wise idea, because your main objective is to present the material, not the argument. So check over your review again to make sure it follows the assignment and/or your outline. Then, just as you would for most other academic forms of writing, rewrite or rework the language of your review so that you’ve presented your information in the most concise manner possible. Be sure to use terminology familiar to your audience; get rid of unnecessary jargon or slang. Finally, double check that you’ve documented your sources and formatted the review appropriately for your discipline. For tips on the revising and editing process, see our handout on revising drafts .

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

Anson, Chris M., and Robert A. Schwegler. 2010. The Longman Handbook for Writers and Readers , 6th ed. New York: Longman.

Jones, Robert, Patrick Bizzaro, and Cynthia Selfe. 1997. The Harcourt Brace Guide to Writing in the Disciplines . New York: Harcourt Brace.

Lamb, Sandra E. 1998. How to Write It: A Complete Guide to Everything You’ll Ever Write . Berkeley: Ten Speed Press.

Rosen, Leonard J., and Laurence Behrens. 2003. The Allyn & Bacon Handbook , 5th ed. New York: Longman.

Troyka, Lynn Quittman, and Doug Hesse. 2016. Simon and Schuster Handbook for Writers , 11th ed. London: Pearson.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

Make a Gift

Essay vs Research Paper: Key Disparities

Table of contents

• 1.1 What Is an Essay?
• 1.2 What Is a Research Paper?
• 2.1 Purpose and Objective
• 2.2 Structure and Organization
• 2.3 Length and Depth
• 2.4 Sources and Evidence
• 2.5 Voice and Style
• 2.6 Audience and Presentation
• 3 Essay vs Research Paper: 10 Points of Difference
• 4 What Is the Difference Between Research Paper and Different Types of Papers
• 5 Let’s Sum Up

Every student needs to write some academic papers for the university. However, even young people with experience can't determine the difference between an essay and a research paper. Although these two areas of academic writing have many similarities, the requirements are still significantly different.

• In this article, you will get a clear definition of an essay and research paper.
• We will outline the key differences between these two types of academic writing.
• You will learn more about the organization, structure, essay and research paper requirements.
• Finally, you will be able to tell the difference between a research paper and an essay.

To get to the heart of the matter of these two academic assignments, we should start by getting an essay vs research paper definition.

Definition and Overview

What is an essay.

An essay is a short piece of work, the purpose of which is to present individual thoughts regarding a chosen topic. Often, essays do not pretend to be scientific but require a defined structure. The basic requirements for an essay suggest writing a five-paragraph piece that contains an introduction, a body, and a conclusion.

What makes your essay unique is your creativity and the novelty of your ideas. To easily structure your thoughts and present them clearly to the reader, you should devote time to drafting an essay . Before you start writing your essay, brainstorm the freshest ideas. Thus, even though all your classmates will use the same five-paragraph structure as you, your ideas will impress the teacher. Experiment with meaning, not form.

What Is a Research Paper?

The difference between an essay and a research paper revolves around the academic approaches. Research work is the depth of study of a selected scientific topic, which should bring scientific novelty by drawing conclusions based on existing research and experiments conducted. For students, it’s not enough to state the facts or express their point of view regarding the topic. Your task is to comprehensively study the subject of research, familiarize yourself with existing opinions, and outline the direction of the upcoming study.

Your teacher will expect you to demonstrate analytical skills, the ability to select reliable sources, and a broad theoretical base on your research topic. Research papers require creativity, erudition, and orientation in the topic.

Key Differences Between Essay and Research Paper

The central difference is the goal of these academic assignments. The essay aims to express an individual point of view and find a creative, fresh approach to an existing topic. A good research paper seeks to introduce scientific novelty by examining existing data and conducting new experiments to analyze the information obtained.

Purpose and Objective

The first and main difference between an essay and a research paper is the purpose of writing . An essay as an academic task has the goal of developing students' creative thinking. It also teaches us a structured presentation of thoughts regarding a certain topic. The student is required to have a non-standard approach, fresh thoughts, and reasoned conclusions on the given topic.

The purpose of the research work is to study a scientific topic in detail. This academic assignment is aimed at assessing the student’s analytical abilities and competence to determine cause-and-effect relationships, filter sources, and formulate logical conclusions. Such work requires theoretical knowledge, preliminary study of existing scientific works, and the ability to formulate goals and research methods.

Moreover, a student is supposed to show the capacity to draw comprehensive conclusions based on available data and information obtained during independent research. This task may seem complicated to students, so they opt for resorting to the help of PapersOwl writing service to save time.

Structure and Organization

To start with, the basic structure of any college essay involves a text consisting of five paragraphs, divided into three main factions: introduction, body part, and conclusion. When students lack time to compose a nicely structured academic essay, they can always pay to write a research paper and have their tasks done by a professional. The introduction presents the topic, sets the main direction for further text, and also works as a bait to motivate the reader to study further work. The introduction is followed by three body paragraphs. Each of the three body paragraphs presents a separate idea.

The last paragraph of any essay is a conclusion. In this paragraph, the college or university student must resume the arguments and ideas presented in the text, summarizing them into the main message of the essay. Often, the idea that you present in your conclusions will be most memorable to the reader.

Consequently, let’s overview the structure of a research paper. Compared to the structure of an essay, the organization of a research paper is much more ornate. This type of work requires a title page and abstract that go before the main body of text. On the title page, the student describes his topic of work, as well as gives contact details. An abstract is a short description of the main ideas and research methods of your work. The research work itself consists of an introduction, background, main part, and conclusions. Also, at the very end, they often add acknowledgments and a list of references, which must be formatted following the required international format.

Length and Depth

The length and depth of analysis between these two academic assignments also differ significantly. As for the essay, it is often a short prose piece whose length does not exceed 1000 words. You are faced with the task of fitting a large array of ideas into a small amount of text. The essay format itself rarely requires rigorous and thorough research of the topic, but you should work on creativity and the presence of a message in your essay. Most academic papers fall in the 300 to 600-word range.

On the other hand, a research paper is a scientific project that includes many theoretical aspects that require analysis and clarification. Thus, the volume is significantly bigger. Basic research paper lengths range from 4,000 to 6,000 words. In this case, you will no doubt have to conduct a comprehensive analysis of the selected sources, formulate a research vector, and spend time conducting your experiments, or ask PapersOwl to do a research paper for you . A research paper is a scientific project that includes many theoretical aspects that require analysis and clarification.

Sources and Evidence

The presence of theoretical sources and references is not a mandatory requirement for an essay. You can state your own thoughts on a given topic without resorting to the help of existing sources. Present your ideas on the topic, giving arguments that seem logical to you. If you do decide to base your paper on existing works, you must be sure to indicate where the information was taken from. And yet, the teacher needs to see your own thoughts rather than a dry listing of existing ideas.

Unlike an essay, a quality research paper must include primary and secondary sources, as well as a specific citation format. Surely, you are not the first person to study this scientific topic. In order not to repeat existing thoughts, you need to conduct a search to form a reliable basis for your study. If you skip this step, you risk basing your paper on misleading scientific findings.

Voice and Style

The very specificity of the essay as an academic paper is the subjective presentation of information. A large percentage of your essay should consist of your perspective and vision of the chosen topic. For this reason, essays often use a less formal and more subjective tone. However, you can still use a large amount of colloquial vocabulary, completely disregarding the norms of formal style. Students often have trouble figuring out the right style for their university assignments. In such cases, a reasonable solution is to seek help from a specialist. When you buy custom-written essays from PapersOwl, you’ll always get a perfectly balanced academic paper.

On the other hand, a research paper is a serious scientific work. The student must maintain a formal tone while complying with all structural requirements. Also, in investigative work, there is little room for subjectivity and a personal approach since an objective style is required. At the same time, do not oversaturate your research work with formalism and standard clichés.

Audience and Presentation

The essay format can be used both in the educational process and in an independent literary style. Therefore, the audience for such a written assignment can be wide and varied. When you’re writing an essay, make sure it’s understandable in academia and for a wide audience.

Research work, on the contrary, is aimed at a range of professionals in the chosen field. Written in scientific language, the goal of this work is to attract the attention of scientists and students of certain majors. Your scientific work should be rich in theory and related terms.

Essay vs Research Paper: 10 Points of Difference

As you may have noticed, research papers and essays have many differences, both global and specific. These two types of academic assignments differ in the purpose of writing, have different structures and formats, and are aimed at testing different skills. And yet, every day, students face difficulties in understanding the basic requirements, which leads to incorrect execution of the task. To summarize the main differences, let's look at the table below.

What Is the Difference Between Research Paper and Different Types of Papers

There are many types of papers, each focusing on different topics, serving different purposes, and requiring a specific structure. Those are different types of essays that share a common ground but differ in the way they present information and arguments.

Analytical paper. The purpose of such an essay is an in-depth analysis of the chosen topic, studying different approaches and points of view, and formulating one’s own conclusions based on the information studied and scientific evidence.

Argumentative paper. This type of essay takes as a basis an ambiguous topic; the author must take a certain position and provide a number of arguments.

Informative paper. It has an informative purpose — a presentation of information to the reader, preceded by careful analysis and selection of data.

Persuasive paper . The purpose of this paper is to present convincing arguments, using chosen writing techniques, confirming the author’s position regarding the selected scientific topic.

To get a high grade, you need to understand the requirements of academic requirements. No matter how informatively rich your work is, if it does not meet the requirements, it cannot be highly appreciated. Each type of academic assignment has its own clearly defined, unique format. It’s necessary to know the difference between a research paper vs argumentative essay so as not to get confused while completing a college assignment. So before you start writing an assignment, make sure you understand the type of academic writing required of you.

Let’s Sum Up

Research papers and essays are aimed at testing various skills of the student, following different structures, and having several requirements. An essay is a more creative writing task, which involves showing originality and expressing a personal opinion on a certain topic. At the same time, a research paper is a type of scientific writing that adheres to a strict structure and uses a formal tone. Understanding the main differences will make your writing process easier, saving you time researching the requirements. Remember that knowing the essence of the assignment is a key factor in writing a decent paper.

Readers also enjoyed

WHY WAIT? PLACE AN ORDER RIGHT NOW!

Just fill out the form, press the button, and have no worries!

We use cookies to give you the best experience possible. By continuing we’ll assume you board with our cookie policy.

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

• Publications
• Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

• Advanced Search
• Journal List
• J Korean Med Sci
• v.37(16); 2022 Apr 25

A Practical Guide to Writing Quantitative and Qualitative Research Questions and Hypotheses in Scholarly Articles

Edward barroga.

1 Department of General Education, Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan.

Glafera Janet Matanguihan

2 Department of Biological Sciences, Messiah University, Mechanicsburg, PA, USA.

The development of research questions and the subsequent hypotheses are prerequisites to defining the main research purpose and specific objectives of a study. Consequently, these objectives determine the study design and research outcome. The development of research questions is a process based on knowledge of current trends, cutting-edge studies, and technological advances in the research field. Excellent research questions are focused and require a comprehensive literature search and in-depth understanding of the problem being investigated. Initially, research questions may be written as descriptive questions which could be developed into inferential questions. These questions must be specific and concise to provide a clear foundation for developing hypotheses. Hypotheses are more formal predictions about the research outcomes. These specify the possible results that may or may not be expected regarding the relationship between groups. Thus, research questions and hypotheses clarify the main purpose and specific objectives of the study, which in turn dictate the design of the study, its direction, and outcome. Studies developed from good research questions and hypotheses will have trustworthy outcomes with wide-ranging social and health implications.

INTRODUCTION

Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses. 1 , 2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results. 3 , 4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the inception of novel studies and the ethical testing of ideas. 5 , 6

It is crucial to have knowledge of both quantitative and qualitative research 2 as both types of research involve writing research questions and hypotheses. 7 However, these crucial elements of research are sometimes overlooked; if not overlooked, then framed without the forethought and meticulous attention it needs. Planning and careful consideration are needed when developing quantitative or qualitative research, particularly when conceptualizing research questions and hypotheses. 4

There is a continuing need to support researchers in the creation of innovative research questions and hypotheses, as well as for journal articles that carefully review these elements. 1 When research questions and hypotheses are not carefully thought of, unethical studies and poor outcomes usually ensue. Carefully formulated research questions and hypotheses define well-founded objectives, which in turn determine the appropriate design, course, and outcome of the study. This article then aims to discuss in detail the various aspects of crafting research questions and hypotheses, with the goal of guiding researchers as they develop their own. Examples from the authors and peer-reviewed scientific articles in the healthcare field are provided to illustrate key points.

DEFINITIONS AND RELATIONSHIP OF RESEARCH QUESTIONS AND HYPOTHESES

A research question is what a study aims to answer after data analysis and interpretation. The answer is written in length in the discussion section of the paper. Thus, the research question gives a preview of the different parts and variables of the study meant to address the problem posed in the research question. 1 An excellent research question clarifies the research writing while facilitating understanding of the research topic, objective, scope, and limitations of the study. 5

On the other hand, a research hypothesis is an educated statement of an expected outcome. This statement is based on background research and current knowledge. 8 , 9 The research hypothesis makes a specific prediction about a new phenomenon 10 or a formal statement on the expected relationship between an independent variable and a dependent variable. 3 , 11 It provides a tentative answer to the research question to be tested or explored. 4

Hypotheses employ reasoning to predict a theory-based outcome. 10 These can also be developed from theories by focusing on components of theories that have not yet been observed. 10 The validity of hypotheses is often based on the testability of the prediction made in a reproducible experiment. 8

Conversely, hypotheses can also be rephrased as research questions. Several hypotheses based on existing theories and knowledge may be needed to answer a research question. Developing ethical research questions and hypotheses creates a research design that has logical relationships among variables. These relationships serve as a solid foundation for the conduct of the study. 4 , 11 Haphazardly constructed research questions can result in poorly formulated hypotheses and improper study designs, leading to unreliable results. Thus, the formulations of relevant research questions and verifiable hypotheses are crucial when beginning research. 12

CHARACTERISTICS OF GOOD RESEARCH QUESTIONS AND HYPOTHESES

Excellent research questions are specific and focused. These integrate collective data and observations to confirm or refute the subsequent hypotheses. Well-constructed hypotheses are based on previous reports and verify the research context. These are realistic, in-depth, sufficiently complex, and reproducible. More importantly, these hypotheses can be addressed and tested. 13

There are several characteristics of well-developed hypotheses. Good hypotheses are 1) empirically testable 7 , 10 , 11 , 13 ; 2) backed by preliminary evidence 9 ; 3) testable by ethical research 7 , 9 ; 4) based on original ideas 9 ; 5) have evidenced-based logical reasoning 10 ; and 6) can be predicted. 11 Good hypotheses can infer ethical and positive implications, indicating the presence of a relationship or effect relevant to the research theme. 7 , 11 These are initially developed from a general theory and branch into specific hypotheses by deductive reasoning. In the absence of a theory to base the hypotheses, inductive reasoning based on specific observations or findings form more general hypotheses. 10

TYPES OF RESEARCH QUESTIONS AND HYPOTHESES

Research questions and hypotheses are developed according to the type of research, which can be broadly classified into quantitative and qualitative research. We provide a summary of the types of research questions and hypotheses under quantitative and qualitative research categories in Table 1 .

Research questions in quantitative research

In quantitative research, research questions inquire about the relationships among variables being investigated and are usually framed at the start of the study. These are precise and typically linked to the subject population, dependent and independent variables, and research design. 1 Research questions may also attempt to describe the behavior of a population in relation to one or more variables, or describe the characteristics of variables to be measured ( descriptive research questions ). 1 , 5 , 14 These questions may also aim to discover differences between groups within the context of an outcome variable ( comparative research questions ), 1 , 5 , 14 or elucidate trends and interactions among variables ( relationship research questions ). 1 , 5 We provide examples of descriptive, comparative, and relationship research questions in quantitative research in Table 2 .

Hypotheses in quantitative research

In quantitative research, hypotheses predict the expected relationships among variables. 15 Relationships among variables that can be predicted include 1) between a single dependent variable and a single independent variable ( simple hypothesis ) or 2) between two or more independent and dependent variables ( complex hypothesis ). 4 , 11 Hypotheses may also specify the expected direction to be followed and imply an intellectual commitment to a particular outcome ( directional hypothesis ) 4 . On the other hand, hypotheses may not predict the exact direction and are used in the absence of a theory, or when findings contradict previous studies ( non-directional hypothesis ). 4 In addition, hypotheses can 1) define interdependency between variables ( associative hypothesis ), 4 2) propose an effect on the dependent variable from manipulation of the independent variable ( causal hypothesis ), 4 3) state a negative relationship between two variables ( null hypothesis ), 4 , 11 , 15 4) replace the working hypothesis if rejected ( alternative hypothesis ), 15 explain the relationship of phenomena to possibly generate a theory ( working hypothesis ), 11 5) involve quantifiable variables that can be tested statistically ( statistical hypothesis ), 11 6) or express a relationship whose interlinks can be verified logically ( logical hypothesis ). 11 We provide examples of simple, complex, directional, non-directional, associative, causal, null, alternative, working, statistical, and logical hypotheses in quantitative research, as well as the definition of quantitative hypothesis-testing research in Table 3 .

Research questions in qualitative research

Unlike research questions in quantitative research, research questions in qualitative research are usually continuously reviewed and reformulated. The central question and associated subquestions are stated more than the hypotheses. 15 The central question broadly explores a complex set of factors surrounding the central phenomenon, aiming to present the varied perspectives of participants. 15

There are varied goals for which qualitative research questions are developed. These questions can function in several ways, such as to 1) identify and describe existing conditions ( contextual research question s); 2) describe a phenomenon ( descriptive research questions ); 3) assess the effectiveness of existing methods, protocols, theories, or procedures ( evaluation research questions ); 4) examine a phenomenon or analyze the reasons or relationships between subjects or phenomena ( explanatory research questions ); or 5) focus on unknown aspects of a particular topic ( exploratory research questions ). 5 In addition, some qualitative research questions provide new ideas for the development of theories and actions ( generative research questions ) or advance specific ideologies of a position ( ideological research questions ). 1 Other qualitative research questions may build on a body of existing literature and become working guidelines ( ethnographic research questions ). Research questions may also be broadly stated without specific reference to the existing literature or a typology of questions ( phenomenological research questions ), may be directed towards generating a theory of some process ( grounded theory questions ), or may address a description of the case and the emerging themes ( qualitative case study questions ). 15 We provide examples of contextual, descriptive, evaluation, explanatory, exploratory, generative, ideological, ethnographic, phenomenological, grounded theory, and qualitative case study research questions in qualitative research in Table 4 , and the definition of qualitative hypothesis-generating research in Table 5 .

Qualitative studies usually pose at least one central research question and several subquestions starting with How or What . These research questions use exploratory verbs such as explore or describe . These also focus on one central phenomenon of interest, and may mention the participants and research site. 15

Hypotheses in qualitative research

Hypotheses in qualitative research are stated in the form of a clear statement concerning the problem to be investigated. Unlike in quantitative research where hypotheses are usually developed to be tested, qualitative research can lead to both hypothesis-testing and hypothesis-generating outcomes. 2 When studies require both quantitative and qualitative research questions, this suggests an integrative process between both research methods wherein a single mixed-methods research question can be developed. 1

FRAMEWORKS FOR DEVELOPING RESEARCH QUESTIONS AND HYPOTHESES

Research questions followed by hypotheses should be developed before the start of the study. 1 , 12 , 14 It is crucial to develop feasible research questions on a topic that is interesting to both the researcher and the scientific community. This can be achieved by a meticulous review of previous and current studies to establish a novel topic. Specific areas are subsequently focused on to generate ethical research questions. The relevance of the research questions is evaluated in terms of clarity of the resulting data, specificity of the methodology, objectivity of the outcome, depth of the research, and impact of the study. 1 , 5 These aspects constitute the FINER criteria (i.e., Feasible, Interesting, Novel, Ethical, and Relevant). 1 Clarity and effectiveness are achieved if research questions meet the FINER criteria. In addition to the FINER criteria, Ratan et al. described focus, complexity, novelty, feasibility, and measurability for evaluating the effectiveness of research questions. 14

The PICOT and PEO frameworks are also used when developing research questions. 1 The following elements are addressed in these frameworks, PICOT: P-population/patients/problem, I-intervention or indicator being studied, C-comparison group, O-outcome of interest, and T-timeframe of the study; PEO: P-population being studied, E-exposure to preexisting conditions, and O-outcome of interest. 1 Research questions are also considered good if these meet the “FINERMAPS” framework: Feasible, Interesting, Novel, Ethical, Relevant, Manageable, Appropriate, Potential value/publishable, and Systematic. 14

As we indicated earlier, research questions and hypotheses that are not carefully formulated result in unethical studies or poor outcomes. To illustrate this, we provide some examples of ambiguous research question and hypotheses that result in unclear and weak research objectives in quantitative research ( Table 6 ) 16 and qualitative research ( Table 7 ) 17 , and how to transform these ambiguous research question(s) and hypothesis(es) into clear and good statements.

a These statements were composed for comparison and illustrative purposes only.

b These statements are direct quotes from Higashihara and Horiuchi. 16

a This statement is a direct quote from Shimoda et al. 17

The other statements were composed for comparison and illustrative purposes only.

CONSTRUCTING RESEARCH QUESTIONS AND HYPOTHESES

To construct effective research questions and hypotheses, it is very important to 1) clarify the background and 2) identify the research problem at the outset of the research, within a specific timeframe. 9 Then, 3) review or conduct preliminary research to collect all available knowledge about the possible research questions by studying theories and previous studies. 18 Afterwards, 4) construct research questions to investigate the research problem. Identify variables to be accessed from the research questions 4 and make operational definitions of constructs from the research problem and questions. Thereafter, 5) construct specific deductive or inductive predictions in the form of hypotheses. 4 Finally, 6) state the study aims . This general flow for constructing effective research questions and hypotheses prior to conducting research is shown in Fig. 1 .

Research questions are used more frequently in qualitative research than objectives or hypotheses. 3 These questions seek to discover, understand, explore or describe experiences by asking “What” or “How.” The questions are open-ended to elicit a description rather than to relate variables or compare groups. The questions are continually reviewed, reformulated, and changed during the qualitative study. 3 Research questions are also used more frequently in survey projects than hypotheses in experiments in quantitative research to compare variables and their relationships.

Hypotheses are constructed based on the variables identified and as an if-then statement, following the template, ‘If a specific action is taken, then a certain outcome is expected.’ At this stage, some ideas regarding expectations from the research to be conducted must be drawn. 18 Then, the variables to be manipulated (independent) and influenced (dependent) are defined. 4 Thereafter, the hypothesis is stated and refined, and reproducible data tailored to the hypothesis are identified, collected, and analyzed. 4 The hypotheses must be testable and specific, 18 and should describe the variables and their relationships, the specific group being studied, and the predicted research outcome. 18 Hypotheses construction involves a testable proposition to be deduced from theory, and independent and dependent variables to be separated and measured separately. 3 Therefore, good hypotheses must be based on good research questions constructed at the start of a study or trial. 12

In summary, research questions are constructed after establishing the background of the study. Hypotheses are then developed based on the research questions. Thus, it is crucial to have excellent research questions to generate superior hypotheses. In turn, these would determine the research objectives and the design of the study, and ultimately, the outcome of the research. 12 Algorithms for building research questions and hypotheses are shown in Fig. 2 for quantitative research and in Fig. 3 for qualitative research.

EXAMPLES OF RESEARCH QUESTIONS FROM PUBLISHED ARTICLES

• EXAMPLE 1. Descriptive research question (quantitative research)
• - Presents research variables to be assessed (distinct phenotypes and subphenotypes)
• “BACKGROUND: Since COVID-19 was identified, its clinical and biological heterogeneity has been recognized. Identifying COVID-19 phenotypes might help guide basic, clinical, and translational research efforts.
• RESEARCH QUESTION: Does the clinical spectrum of patients with COVID-19 contain distinct phenotypes and subphenotypes? ” 19
• EXAMPLE 2. Relationship research question (quantitative research)
• - Shows interactions between dependent variable (static postural control) and independent variable (peripheral visual field loss)
• “Background: Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear.
• Research question: What are the effects of peripheral visual field loss on static postural control ?” 20
• EXAMPLE 3. Comparative research question (quantitative research)
• - Clarifies the difference among groups with an outcome variable (patients enrolled in COMPERA with moderate PH or severe PH in COPD) and another group without the outcome variable (patients with idiopathic pulmonary arterial hypertension (IPAH))
• “BACKGROUND: Pulmonary hypertension (PH) in COPD is a poorly investigated clinical condition.
• RESEARCH QUESTION: Which factors determine the outcome of PH in COPD?
• STUDY DESIGN AND METHODS: We analyzed the characteristics and outcome of patients enrolled in the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) with moderate or severe PH in COPD as defined during the 6th PH World Symposium who received medical therapy for PH and compared them with patients with idiopathic pulmonary arterial hypertension (IPAH) .” 21
• EXAMPLE 4. Exploratory research question (qualitative research)
• - Explores areas that have not been fully investigated (perspectives of families and children who receive care in clinic-based child obesity treatment) to have a deeper understanding of the research problem
• “Problem: Interventions for children with obesity lead to only modest improvements in BMI and long-term outcomes, and data are limited on the perspectives of families of children with obesity in clinic-based treatment. This scoping review seeks to answer the question: What is known about the perspectives of families and children who receive care in clinic-based child obesity treatment? This review aims to explore the scope of perspectives reported by families of children with obesity who have received individualized outpatient clinic-based obesity treatment.” 22
• EXAMPLE 5. Relationship research question (quantitative research)
• - Defines interactions between dependent variable (use of ankle strategies) and independent variable (changes in muscle tone)
• “Background: To maintain an upright standing posture against external disturbances, the human body mainly employs two types of postural control strategies: “ankle strategy” and “hip strategy.” While it has been reported that the magnitude of the disturbance alters the use of postural control strategies, it has not been elucidated how the level of muscle tone, one of the crucial parameters of bodily function, determines the use of each strategy. We have previously confirmed using forward dynamics simulations of human musculoskeletal models that an increased muscle tone promotes the use of ankle strategies. The objective of the present study was to experimentally evaluate a hypothesis: an increased muscle tone promotes the use of ankle strategies. Research question: Do changes in the muscle tone affect the use of ankle strategies ?” 23

EXAMPLES OF HYPOTHESES IN PUBLISHED ARTICLES

• EXAMPLE 1. Working hypothesis (quantitative research)
• - A hypothesis that is initially accepted for further research to produce a feasible theory
• “As fever may have benefit in shortening the duration of viral illness, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response when taken during the early stages of COVID-19 illness .” 24
• “In conclusion, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response . The difference in perceived safety of these agents in COVID-19 illness could be related to the more potent efficacy to reduce fever with ibuprofen compared to acetaminophen. Compelling data on the benefit of fever warrant further research and review to determine when to treat or withhold ibuprofen for early stage fever for COVID-19 and other related viral illnesses .” 24
• EXAMPLE 2. Exploratory hypothesis (qualitative research)
• - Explores particular areas deeper to clarify subjective experience and develop a formal hypothesis potentially testable in a future quantitative approach
• “We hypothesized that when thinking about a past experience of help-seeking, a self distancing prompt would cause increased help-seeking intentions and more favorable help-seeking outcome expectations .” 25
• “Conclusion
• Although a priori hypotheses were not supported, further research is warranted as results indicate the potential for using self-distancing approaches to increasing help-seeking among some people with depressive symptomatology.” 25
• EXAMPLE 3. Hypothesis-generating research to establish a framework for hypothesis testing (qualitative research)
• “We hypothesize that compassionate care is beneficial for patients (better outcomes), healthcare systems and payers (lower costs), and healthcare providers (lower burnout). ” 26
• Compassionomics is the branch of knowledge and scientific study of the effects of compassionate healthcare. Our main hypotheses are that compassionate healthcare is beneficial for (1) patients, by improving clinical outcomes, (2) healthcare systems and payers, by supporting financial sustainability, and (3) HCPs, by lowering burnout and promoting resilience and well-being. The purpose of this paper is to establish a scientific framework for testing the hypotheses above . If these hypotheses are confirmed through rigorous research, compassionomics will belong in the science of evidence-based medicine, with major implications for all healthcare domains.” 26
• EXAMPLE 4. Statistical hypothesis (quantitative research)
• - An assumption is made about the relationship among several population characteristics ( gender differences in sociodemographic and clinical characteristics of adults with ADHD ). Validity is tested by statistical experiment or analysis ( chi-square test, Students t-test, and logistic regression analysis)
• “Our research investigated gender differences in sociodemographic and clinical characteristics of adults with ADHD in a Japanese clinical sample. Due to unique Japanese cultural ideals and expectations of women's behavior that are in opposition to ADHD symptoms, we hypothesized that women with ADHD experience more difficulties and present more dysfunctions than men . We tested the following hypotheses: first, women with ADHD have more comorbidities than men with ADHD; second, women with ADHD experience more social hardships than men, such as having less full-time employment and being more likely to be divorced.” 27
• “Statistical Analysis
• ( text omitted ) Between-gender comparisons were made using the chi-squared test for categorical variables and Students t-test for continuous variables…( text omitted ). A logistic regression analysis was performed for employment status, marital status, and comorbidity to evaluate the independent effects of gender on these dependent variables.” 27

EXAMPLES OF HYPOTHESIS AS WRITTEN IN PUBLISHED ARTICLES IN RELATION TO OTHER PARTS

• EXAMPLE 1. Background, hypotheses, and aims are provided
• “Pregnant women need skilled care during pregnancy and childbirth, but that skilled care is often delayed in some countries …( text omitted ). The focused antenatal care (FANC) model of WHO recommends that nurses provide information or counseling to all pregnant women …( text omitted ). Job aids are visual support materials that provide the right kind of information using graphics and words in a simple and yet effective manner. When nurses are not highly trained or have many work details to attend to, these job aids can serve as a content reminder for the nurses and can be used for educating their patients (Jennings, Yebadokpo, Affo, & Agbogbe, 2010) ( text omitted ). Importantly, additional evidence is needed to confirm how job aids can further improve the quality of ANC counseling by health workers in maternal care …( text omitted )” 28
• “ This has led us to hypothesize that the quality of ANC counseling would be better if supported by job aids. Consequently, a better quality of ANC counseling is expected to produce higher levels of awareness concerning the danger signs of pregnancy and a more favorable impression of the caring behavior of nurses .” 28
• “This study aimed to examine the differences in the responses of pregnant women to a job aid-supported intervention during ANC visit in terms of 1) their understanding of the danger signs of pregnancy and 2) their impression of the caring behaviors of nurses to pregnant women in rural Tanzania.” 28
• EXAMPLE 2. Background, hypotheses, and aims are provided
• “We conducted a two-arm randomized controlled trial (RCT) to evaluate and compare changes in salivary cortisol and oxytocin levels of first-time pregnant women between experimental and control groups. The women in the experimental group touched and held an infant for 30 min (experimental intervention protocol), whereas those in the control group watched a DVD movie of an infant (control intervention protocol). The primary outcome was salivary cortisol level and the secondary outcome was salivary oxytocin level.” 29
• “ We hypothesize that at 30 min after touching and holding an infant, the salivary cortisol level will significantly decrease and the salivary oxytocin level will increase in the experimental group compared with the control group .” 29
• EXAMPLE 3. Background, aim, and hypothesis are provided
• “In countries where the maternal mortality ratio remains high, antenatal education to increase Birth Preparedness and Complication Readiness (BPCR) is considered one of the top priorities [1]. BPCR includes birth plans during the antenatal period, such as the birthplace, birth attendant, transportation, health facility for complications, expenses, and birth materials, as well as family coordination to achieve such birth plans. In Tanzania, although increasing, only about half of all pregnant women attend an antenatal clinic more than four times [4]. Moreover, the information provided during antenatal care (ANC) is insufficient. In the resource-poor settings, antenatal group education is a potential approach because of the limited time for individual counseling at antenatal clinics.” 30
• “This study aimed to evaluate an antenatal group education program among pregnant women and their families with respect to birth-preparedness and maternal and infant outcomes in rural villages of Tanzania.” 30
• “ The study hypothesis was if Tanzanian pregnant women and their families received a family-oriented antenatal group education, they would (1) have a higher level of BPCR, (2) attend antenatal clinic four or more times, (3) give birth in a health facility, (4) have less complications of women at birth, and (5) have less complications and deaths of infants than those who did not receive the education .” 30

Research questions and hypotheses are crucial components to any type of research, whether quantitative or qualitative. These questions should be developed at the very beginning of the study. Excellent research questions lead to superior hypotheses, which, like a compass, set the direction of research, and can often determine the successful conduct of the study. Many research studies have floundered because the development of research questions and subsequent hypotheses was not given the thought and meticulous attention needed. The development of research questions and hypotheses is an iterative process based on extensive knowledge of the literature and insightful grasp of the knowledge gap. Focused, concise, and specific research questions provide a strong foundation for constructing hypotheses which serve as formal predictions about the research outcomes. Research questions and hypotheses are crucial elements of research that should not be overlooked. They should be carefully thought of and constructed when planning research. This avoids unethical studies and poor outcomes by defining well-founded objectives that determine the design, course, and outcome of the study.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

• Conceptualization: Barroga E, Matanguihan GJ.
• Methodology: Barroga E, Matanguihan GJ.
• Writing - original draft: Barroga E, Matanguihan GJ.
• Writing - review & editing: Barroga E, Matanguihan GJ.

• LaChance Library

Q. What's the difference between a report and a research paper?

• 2 Academic Support
• 2 Annotated Bibliography
• 2 Borrowing
• 9 Citations
• 33 Databases
• 1 Evaluating Information
• 7 Films/Movies
• 26 Finding Information
• 2 Library Cards
• 3 Login from Home
• 21 Research Papers
• 3 Research Skills MOOC
• 8 Research Topic
• 1 Study Rooms
• 3 Textbooks
• 3 Thesis Statements

Answered By: Brooke Gilmore Last Updated: Jan 12, 2022     Views: 62465

But wait, there's more. Check out Research Starter Toolkit , a step-by-step guide to help you succeed.

• Share on Facebook

Was this helpful? Yes 230 No 22

Comments (3)

• This is a wonderful website with step-by-step information on how to write a research paper. My college English students found it very helpful, and they are actually using it! by Lori Fox on Nov 22, 2017
• This site is amazing, it helped to receive a 98 on a research paper would recommend it if you are anywhere confused about writing a research paper by Sergio Cristian Ruiz on Jul 18, 2018
• very good by zewran ihsas on Mar 18, 2021

Related Topics

• Research Papers

Ask a Librarian 

Difference between a research paper, dissertation & thesis

When it comes to writing academic papers, students should have the right skills if they must succeed. Whether it is doing a weekly essay assignment, crafting a term paper, or doing research, the best learners are those who have mastered the art of literary composition. You should also note that understanding how each school paper differs from the other puts you ahead of the pack. Most of the schools, universities and institutions require you to undertake research at some point or another in form of coursework .

Often, students mistake research for term papers or thesis for dissertations. The worst-case scenario is when instead of writing a thesis; you end up with a dissertation paper. Such is an occurrence that often denies students marks. And so, the big question we want to answer in this post is what the differences between research, dissertation, and thesis are? Keep reading to learn more.

First things first note that variations between different types of academic papers could be in the form of writing style , definition, presentation of arguments, not to mention the purpose of writing and level of academia.  You should not expect high school students, for example, to partake in thesis writing. But when it comes to writing research papers, it can happen at any level of academia right from high school through college and university.

Note: There are differences in how these terminologies are used. In few countries they are used interchangeably, while in other countries thesis is related to bachelor’s or master’s degree course and dissertation is used in the context of a doctorate degree, whereas in some countries the reverse is true. For example, in Indian context, PhD students are required to submit a “thesis” whereas M. Phil students are required to submit a dissertation. Thesis is considered to be much longer form of research which is opposite in case of USA.

Differences based on the definition

Definitive differences between academic papers simplify things for a college newbie yet to write his or her academic paper. Now, on defining the thesis, research and dissertation, the following are worth noting:

• A research paper refers to a piece of literary composition, often a class requirement. The most notable aspect of research papers is that before you craft them, you must gather knowledge independently. After collecting data and information, students then put together findings in a descriptive format. Learners must also present their arguments based on their evaluation of a subject under study. A good research paper opens the gates to advanced academic writing which will involve the implementation of findings.
• A dissertation is a paper that students write as a requirement for the conferment of a diploma or degree. In some countries, Ph.D. students also write dissertations.
• A thesis is a paper students craft as a requirement for a degree at college or university level. You do realize that all the three types of academic papers lead to something, often an academic qualification that would see one earn a degree or get admitted to the next level of academia.

Length of paper and methodology

While the methodology of writing these papers is similar, often constituting sections such as introduction, abstract, literature review, research method, presentation/finings, discussions, conclusion and recommendations, the length of each paper does vary. Research papers and dissertations are generally long. However, thesis papers tend to be short hence requiring less time to write. Dissertations and research require a comprehensive study of a study and gathering information/data. You, therefore, spend more time on them before and during writing. You may even use an editing service to help you research, write, and proofread your dissertation properly.

Differences based on knowledge inference and hypothesis

A hypothesis is an educated guess. Before you conduct a study, assumptions have to be made that something will turn out in some way. Most importantly, how the outcome will impact a population informs the construction of a hypothesis/thesis statement. In research and dissertation writing, students must exhibit a rigorous understanding of a subject based on a study. It is on this premise that they must come up with/infer a meaningful conclusion. However, when writing thesis papers, the formulation of a hypothesis comes after researching and writing on a subject.

Differences based on the approach

How students go about crafting research, dissertation and thesis is another way of differentiating the three papers. In writing research and dissertation papers, students must use existing pieces of literature to back their findings. However, thesis papers more often rely on existing research work to prove a point. You can, for example, sample different research papers on climate change to prove your study on the same. Ostensibly, you are using existing and published academic papers to ascertain that phenomena or a problem exist.

Mode of publication and utilization

You should also note that academic papers exhibit differences based on the reason for which they get published and also how people use them. Dissertation papers are like complete and newly published books given their voluminous nature. You could refer to yours as an academic book. It makes you a published author. However, thesis and research work are like articles that shed light on a subject but not as comprehensively as dissertations.

Differences based on the level of academia

While students can write research papers at any level, they are most common at the undergraduate level. Completion of a research paper often leads to the conferment of an undergraduate degree. And when it comes to writing dissertation papers, the bargain is qualifying for a master’s degree, thusly; postgraduate, Mphil or MBA.  It means if you are not writing a dissertation to obtain a postgraduate degree, you do so as a means of enrolling in a postgraduate program. Thesis papers lead to the conferment of a Ph.D. degree or a doctorate as some scholars call it. Students who write thesis papers do so within the last two years of their academic life.

Final Thoughts

Many factors distinguish academic papers. But regardless of the methodology or purpose of these papers, the most important thing is that students showcase their literary skills. Moreover, academic paper tests the knowledge of students on different issues and subjects. Whether it is writing about how past events led to present-day situations or how human activities will lead to something happening in the future, knowledge dispensation helps societies grow.

In the interest of time, research work involved in crafting academic papers is meant to unearth critical findings on a subject and provide solutions to an existing problem. As a rule of the thumb, students who write research, dissertation or thesis papers must demonstrate their understanding of the society and problems that bedevil it. It is through doing so that recommendations for solving a problem become trustworthy, dependable, acceptable and applicable. Most importantly, learners must meet a set academic threshold before writing the above papers.

About The Author

Leave a Comment Cancel Reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

Notify me of follow-up comments by email.

Notify me of new posts by email.

• Walden University
• Faculty Portal

Writing a Paper: Comparing & Contrasting

A compare and contrast paper discusses the similarities and differences between two or more topics. The paper should contain an introduction with a thesis statement, a body where the comparisons and contrasts are discussed, and a conclusion.

Address Both Similarities and Differences

Because this is a compare and contrast paper, both the similarities and differences should be discussed. This will require analysis on your part, as some topics will appear to be quite similar, and you will have to work to find the differing elements.

Make Sure You Have a Clear Thesis Statement

Just like any other essay, a compare and contrast essay needs a thesis statement. The thesis statement should not only tell your reader what you will do, but it should also address the purpose and importance of comparing and contrasting the material.

Use Clear Transitions

Transitions are important in compare and contrast essays, where you will be moving frequently between different topics or perspectives.

• Examples of transitions and phrases for comparisons: as well, similar to, consistent with, likewise, too
• Examples of transitions and phrases for contrasts: on the other hand, however, although, differs, conversely, rather than.

For more information, check out our transitions page.

Structure Your Paper

Consider how you will present the information. You could present all of the similarities first and then present all of the differences. Or you could go point by point and show the similarity and difference of one point, then the similarity and difference for another point, and so on.

Include Analysis

It is tempting to just provide summary for this type of paper, but analysis will show the importance of the comparisons and contrasts. For instance, if you are comparing two articles on the topic of the nursing shortage, help us understand what this will achieve. Did you find consensus between the articles that will support a certain action step for people in the field? Did you find discrepancies between the two that point to the need for further investigation?

Make Analogous Comparisons

When drawing comparisons or making contrasts, be sure you are dealing with similar aspects of each item. To use an old cliché, are you comparing apples to apples?

• Example of poor comparisons: Kubista studied the effects of a later start time on high school students, but Cook used a mixed methods approach. (This example does not compare similar items. It is not a clear contrast because the sentence does not discuss the same element of the articles. It is like comparing apples to oranges.)
• Example of analogous comparisons: Cook used a mixed methods approach, whereas Kubista used only quantitative methods. (Here, methods are clearly being compared, allowing the reader to understand the distinction.

Related Webinar

Didn't find what you need? Email us at [email protected] .

• Previous Page: Developing Arguments
• Next Page: Avoiding Logical Fallacies
• Office of Student Disability Services

Walden Resources

Departments.

• Academic Residencies
• Academic Skills
• Career Planning and Development
• Customer Care Team
• Field Experience
• Military Services
• Student Success Advising
• Writing Skills

Centers and Offices

• Center for Social Change
• Office of Academic Support and Instructional Services
• Office of Degree Acceleration
• Office of Research and Doctoral Services
• Office of Student Affairs

Student Resources

• Doctoral Writing Assessment
• Form & Style Review
• Quick Answers
• ScholarWorks
• SKIL Courses and Workshops
• Walden Bookstore
• Walden Catalog & Student Handbook
• Student Safety/Title IX
• Legal & Consumer Information
• Website Terms and Conditions
• Cookie Policy
• Accessibility
• Accreditation
• State Authorization
• Net Price Calculator
• Contact Walden

Walden University is a member of Adtalem Global Education, Inc. www.adtalem.com Walden University is certified to operate by SCHEV © 2024 Walden University LLC. All rights reserved.

• About WordPress
• Get Involved
• WordPress.org
• Documentation
• Learn WordPress

SRJ Student Resource

Literature review vs research articles: how are they different.

Unlock the secrets of academic writing with our guide to the key differences between a literature review and a research paper! 📚 Dive into the world of scholarly exploration as we break down how a literature review illuminates existing knowledge, identifies gaps, and sets the stage for further research. 🌐 Then, gear up for the adventure of crafting a research paper, where you become the explorer, presenting your unique insights and discoveries through independent research. 🚀 Join us on this academic journey and discover the art of synthesizing existing wisdom and creating your own scholarly masterpiece! 🎓✨

We are always accepting submissions!  Submit work within  SRJ’s  scope  anytime while you’re a graduate student.

Leave a Reply Cancel reply

The act of commenting on this site is an opt-in action and San Jose State University may not be held liable for the information provided by participating in the activity.

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

Your go-to destination for graduate student research support

Scopus journals

What is the difference between research paper and publication.

When it comes to academic writing, the terms “research paper” and “publication” are often used interchangeably. While both involve research and writing, there are important distinctions between the two.

The term “research paper” typically refers to a paper written by a student or group of students, usually for an academic course. This type of paper is usually shorter than a publication and is used to demonstrate the student’s understanding of a particular subject. While research papers can be published, they are usually only seen by the professor and other students in the course.

In contrast, a “publication” refers to a paper, article, or book that has been made widely available to the public. While research papers may contain some of the same information, a publication is typically much more comprehensive and authoritative than a research paper and is subject to peer review. Publications are also typically written by a professional writer or scientist and are more likely to be published in a journal or magazine.

In addition to the differences in length and scope, research papers and publications also differ in terms of the type of information they contain. Research papers are focused on a specific topic and tend to include only the most relevant information. In contrast, publications are more likely to include a broader range of information and multiple perspectives on a topic.

research papers and publications also differ in terms of their purpose. Research papers are typically meant to provide an overview of a topic, while publications are intended to present a more in-depth analysis of a topic.

Overall, research papers and publications are both important tools for academic research and writing. Knowing the differences between the two can help you better understand the type of information you need for your project.

• Key Differences

Know the Differences & Comparisons

Difference Between Thesis and Research Paper

On the other hand, a research paper is analytical, argumentative and interpretative in nature. It involves the pursuit of knowledge and intelligent analysis of the information collected. It contains the idea of the author, often supported by expert opinions, research and information available in this regard.

Whether you are writing a thesis or research paper, they are equally challenging and take a lot of time to prepare. In this post, we will update you on all the points of difference between thesis and  research paper.

Content: Thesis Vs Research Paper

• Key Elements
• Thesis Statement

How to start a research paper?

Comparison chart, what is thesis.

The thesis is a document containing the research and findings that students submit to get the professional qualification or degree . It has to be argumentative, which proposes a debatable point with which people could either agree or disagree. In short, it is a research report in writing that contains a problem which is yet to be dealt with.

In a thesis, the researcher puts forth his/her conclusion. The researcher also gives evidence in support of the conclusion.

Submission of the thesis is a mandatory requirement of a postgraduate course and PhD degree. In this, the primary focus is on the novelty of research along with the research methodology.

It is all about possibilities, by introducing several anti-thesis. Also, it ends up all the possibilities by nullifying all these anti-thesis.

Key Elements of Thesis

• Proposition : The thesis propagates an idea, hypothesis or recommendation.
• Argument : Gives reasons for accepting the proposition instead of just asserting a point of view.
• Maintenance of argument : The argument should be made cogent enough by providing suitable logic and adequate evidence.

Features of An Ideal Thesis

• An Ideal thesis is expected to add fresh knowledge to the existing theory.
• It communicates the central idea of the research in a clear and concise manner.
• An effective thesis is more than a simple statement, fact or question.
• It answers why and how questions concerned with the topic.
• To avoid confusion, it is worded carefully.
• It outlines the direction and scope of your essay.
• It gives reasons to the reader to continue reading.

Also Read : Difference Between Thesis and Dissertation

What is Thesis Statement?

A thesis statement is a sentence of one line, usually written at the end of your first paragraph. It presents the argument to the reader.

It is a blueprint of your thesis that directs the writer while writing the thesis and guides the reader through it.

What is Research Paper?

Research Paper is a form of academic writing. It is prepared on the basis of the original research conducted by the author on a specific topic, along with its analysis and interpretation of the findings.

An author generally starts writing a research paper on the basis of what he knows about the topic and seeks to find out what experts know. Further, it involves thorough and systematic research on a particular subject to extract the maximum information.

In short, a research paper is a written and published report containing the results of scientific research or a review of published scientific papers. Here, the scientific research is the primary research article, while the review of a published scientific paper is the review article.

In case of the primary research article, the author of the research paper provides important information about the research. This enables the scientific community members to:

• Evaluate it
• Reproduce the experiments
• Assess the reasoning and conclusions drawn

On the other hand, a review article is written to analyze, summarize and synthesize the research carried out previously.

When a research work is published in a scientific journal, it conveys the knowledge to a larger group of people and also makes people aware of the scientific work. Research work published as a research paper passes on knowledge and information to many people. The research paper provides relevant information about the disease and the treatment options at hand .

To start writing a research paper, one should always go for a topic that is interesting and a bit challenging too. Here, the key to choosing the topic is to pick the one that you can manage. So, you could avoid such topics which are very technical or specialized and also those topics for which data is not easily available. Also, do not go for any controversial topic.

The researcher’s approach and attitude towards the topic will decide the amount of effort and enthusiasm.

Steps for writing Research Paper

The total number of pages included in a Research Paper relies upon the research topic. It may include 8 to 10 pages, which are:

• Introduction
• Review of Literature
• Methodology
• Research Analysis
• Recommendations

Also Read : Difference Between Research Proposal and Research Report

Key Differences Between Thesis and Research Paper

• A thesis implies an original, plagiarism-free, written academic document that acts as a final project for a university degree of a higher level. But, Research Paper is a novel, plagiarism-free long essay. It portrays the interpretation, evaluation or argument submitted by a researcher.
• The thesis acts as a final project. Whereas a research paper is a kind of research manual of journals.
• The length of the thesis is around 20,000 to 80,000 words. On the contrary, the length of the research paper is relative to the study.
• The thesis focuses on the central question or statement of an intellectual argument that entails further research. On the contrary, the research paper is concerned with proving the central argument.
• The purpose of submitting the thesis is to get the degree or professional qualification. It also presents the knowledge of the candidate in the respective field. Conversely, the aim of publishing research papers is to prove credibility and contribute knowledge in the respective field.
• While the student submits the thesis to the educational committee or panel of professors who review it. In contrast, scientists and other researchers read and review the research paper.
• Preparation and completion of thesis is always under the guidance of a supervisor. For submission of the thesis, the university assigns a supervisor to each student, under whose guidance the thesis must be completed. As against, no supervisor is appointed as a guide in case of a research paper.
• The thesis contains a broader description of the subject matter. In contrast, the research paper contains a narrow description of the subject matter.

Once the research paper is published, it increases the fellowship and job opportunities for new researchers. On the other hand, thesis writing will enable the students to get the desired degree at the end of the course they have opted.

You Might Also Like:

Dr. Owenga says

February 23, 2023 at 2:38 pm

So good and informative. These are quite beneficial insights. Thanks

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

• Trending Now
• Foundational Courses
• Data Science
• Practice Problem
• Machine Learning
• System Design
• DevOps Tutorial

Difference between Research Papers and Technical Articles for Journal Publication

• Difference between Paper and Article for Scientific Writings
• Difference between Research Paper and Review Paper
• Difference between <article> tag and <section> tag
• Difference Between Article and Essay
• Difference between Science and Technology
• Difference between Technical Writing and General Writing
• Difference between Print Media and Electronic Media
• Difference between Technical Writing and Academic Writing
• Difference between Academic Writing and General Writing
• Difference between Academic Writing and Non Academic Writing
• Differentiate between <article>, <p> & <section> tags in HTML
• Difference between Article and Blog
• Difference between Technical Writing and Creative Writing
• Which specific tag is used to represent the article in HTML ?
• Elicit vs. Scholarcy: Which AI Extracts Better Research Insights?
• Introduction of Technical Report
• How to Write a Research Paper - A Complete Guide
• 4 Key Benefits of Writing Technical Articles
• Article Writing Format: Objective and Steps
• Difference between BFS and DFS
• Differences between TCP and UDP
• Difference between comparing String using == and .equals() method in Java
• Stack vs Heap Memory Allocation
• Differences between JDK, JRE and JVM
• Differences between Procedural and Object Oriented Programming
• Difference between Process and Thread
• Differences between IPv4 and IPv6
• Difference Between Call by Value and Call by Reference in C
• Difference between C and C++

Research Papers: Research Papers are write-ups which record the result/report examinations tired specific zone. For the most part, they take an up to this point obscure issue in a given field, propose an arrangement for it and assess the status of the arrangement in comparison with other modern solutions. In this way, in a sense, they move the wilderness of information within the field. Based on the nature and reason of the movement carried out, and the way the write-up is composed. Technical Articles: A technical article is an editorial for a magazine or an internet benefit that’s about a specialized point, and regularly the article drills down into a few low-level of detail. May be computers, maybe material science or chemistry or any other science. It can be around math. It can be approximately pharmaceutical or wellbeing or diet. It can be around the material science of cooking. There are truly thousands of potential points of specialized articles. Below is a table of differences between Research Papers and Technical Articles: 

.Difference-table { border-collapse: collapse; width: 100%; } .Difference-table td { text-color: black !important; border: 1px solid #5fb962; text-align: left !important; padding: 8px; } .Difference-table th { border: 1px solid #5fb962; padding: 8px; } .Difference-table tr>th{ background-color: #c6ebd9; vertical-align: middle; } .Difference-table tr:nth-child(odd) { background-color: #ffffff; } 

Please Login to comment...

Similar reads.

• Difference Between

Improve your Coding Skills with Practice

What kind of Experience do you want to share?

Our approach

• Responsibility
• Infrastructure
• Try Meta AI

RECOMMENDED READS

• 5 Steps to Getting Started with Llama 2
• The Llama Ecosystem: Past, Present, and Future
• Introducing Code Llama, a state-of-the-art large language model for coding
• Meta and Microsoft Introduce the Next Generation of Llama
• Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model.
• Llama 3 models will soon be available on AWS, Databricks, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake, and with support from hardware platforms offered by AMD, AWS, Dell, Intel, NVIDIA, and Qualcomm.
• We’re dedicated to developing Llama 3 in a responsible way, and we’re offering various resources to help others use it responsibly as well. This includes introducing new trust and safety tools with Llama Guard 2, Code Shield, and CyberSec Eval 2.
• In the coming months, we expect to introduce new capabilities, longer context windows, additional model sizes, and enhanced performance, and we’ll share the Llama 3 research paper.
• Meta AI, built with Llama 3 technology, is now one of the world’s leading AI assistants that can boost your intelligence and lighten your load—helping you learn, get things done, create content, and connect to make the most out of every moment. You can try Meta AI here .

Today, we’re excited to share the first two models of the next generation of Llama, Meta Llama 3, available for broad use. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use cases. This next generation of Llama demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning. We believe these are the best open source models of their class, period. In support of our longstanding open approach, we’re putting Llama 3 in the hands of the community. We want to kickstart the next wave of innovation in AI across the stack—from applications to developer tools to evals to inference optimizations and more. We can’t wait to see what you build and look forward to your feedback.

Our goals for Llama 3

With Llama 3, we set out to build the best open models that are on par with the best proprietary models available today. We wanted to address developer feedback to increase the overall helpfulness of Llama 3 and are doing so while continuing to play a leading role on responsible use and deployment of LLMs. We are embracing the open source ethos of releasing early and often to enable the community to get access to these models while they are still in development. The text-based models we are releasing today are the first in the Llama 3 collection of models. Our goal in the near future is to make Llama 3 multilingual and multimodal, have longer context, and continue to improve overall performance across core LLM capabilities such as reasoning and coding.

State-of-the-art performance

Our new 8B and 70B parameter Llama 3 models are a major leap over Llama 2 and establish a new state-of-the-art for LLM models at those scales. Thanks to improvements in pretraining and post-training, our pretrained and instruction-fine-tuned models are the best models existing today at the 8B and 70B parameter scale. Improvements in our post-training procedures substantially reduced false refusal rates, improved alignment, and increased diversity in model responses. We also saw greatly improved capabilities like reasoning, code generation, and instruction following making Llama 3 more steerable.

*Please see evaluation details for setting and parameters with which these evaluations are calculated.

In the development of Llama 3, we looked at model performance on standard benchmarks and also sought to optimize for performance for real-world scenarios. To this end, we developed a new high-quality human evaluation set. This evaluation set contains 1,800 prompts that cover 12 key use cases: asking for advice, brainstorming, classification, closed question answering, coding, creative writing, extraction, inhabiting a character/persona, open question answering, reasoning, rewriting, and summarization. To prevent accidental overfitting of our models on this evaluation set, even our own modeling teams do not have access to it. The chart below shows aggregated results of our human evaluations across of these categories and prompts against Claude Sonnet, Mistral Medium, and GPT-3.5.

Preference rankings by human annotators based on this evaluation set highlight the strong performance of our 70B instruction-following model compared to competing models of comparable size in real-world scenarios.

Our pretrained model also establishes a new state-of-the-art for LLM models at those scales.

To develop a great language model, we believe it’s important to innovate, scale, and optimize for simplicity. We adopted this design philosophy throughout the Llama 3 project with a focus on four key ingredients: the model architecture, the pretraining data, scaling up pretraining, and instruction fine-tuning.

Model architecture

In line with our design philosophy, we opted for a relatively standard decoder-only transformer architecture in Llama 3. Compared to Llama 2, we made several key improvements. Llama 3 uses a tokenizer with a vocabulary of 128K tokens that encodes language much more efficiently, which leads to substantially improved model performance. To improve the inference efficiency of Llama 3 models, we’ve adopted grouped query attention (GQA) across both the 8B and 70B sizes. We trained the models on sequences of 8,192 tokens, using a mask to ensure self-attention does not cross document boundaries.

Training data

To train the best language model, the curation of a large, high-quality training dataset is paramount. In line with our design principles, we invested heavily in pretraining data. Llama 3 is pretrained on over 15T tokens that were all collected from publicly available sources. Our training dataset is seven times larger than that used for Llama 2, and it includes four times more code. To prepare for upcoming multilingual use cases, over 5% of the Llama 3 pretraining dataset consists of high-quality non-English data that covers over 30 languages. However, we do not expect the same level of performance in these languages as in English.

To ensure Llama 3 is trained on data of the highest quality, we developed a series of data-filtering pipelines. These pipelines include using heuristic filters, NSFW filters, semantic deduplication approaches, and text classifiers to predict data quality. We found that previous generations of Llama are surprisingly good at identifying high-quality data, hence we used Llama 2 to generate the training data for the text-quality classifiers that are powering Llama 3.

We also performed extensive experiments to evaluate the best ways of mixing data from different sources in our final pretraining dataset. These experiments enabled us to select a data mix that ensures that Llama 3 performs well across use cases including trivia questions, STEM, coding, historical knowledge, etc.

Scaling up pretraining

To effectively leverage our pretraining data in Llama 3 models, we put substantial effort into scaling up pretraining. Specifically, we have developed a series of detailed scaling laws for downstream benchmark evaluations. These scaling laws enable us to select an optimal data mix and to make informed decisions on how to best use our training compute. Importantly, scaling laws allow us to predict the performance of our largest models on key tasks (for example, code generation as evaluated on the HumanEval benchmark—see above) before we actually train the models. This helps us ensure strong performance of our final models across a variety of use cases and capabilities.

We made several new observations on scaling behavior during the development of Llama 3. For example, while the Chinchilla-optimal amount of training compute for an 8B parameter model corresponds to ~200B tokens, we found that model performance continues to improve even after the model is trained on two orders of magnitude more data. Both our 8B and 70B parameter models continued to improve log-linearly after we trained them on up to 15T tokens. Larger models can match the performance of these smaller models with less training compute, but smaller models are generally preferred because they are much more efficient during inference.

To train our largest Llama 3 models, we combined three types of parallelization: data parallelization, model parallelization, and pipeline parallelization. Our most efficient implementation achieves a compute utilization of over 400 TFLOPS per GPU when trained on 16K GPUs simultaneously. We performed training runs on two custom-built 24K GPU clusters . To maximize GPU uptime, we developed an advanced new training stack that automates error detection, handling, and maintenance. We also greatly improved our hardware reliability and detection mechanisms for silent data corruption, and we developed new scalable storage systems that reduce overheads of checkpointing and rollback. Those improvements resulted in an overall effective training time of more than 95%. Combined, these improvements increased the efficiency of Llama 3 training by ~three times compared to Llama 2.

Instruction fine-tuning

To fully unlock the potential of our pretrained models in chat use cases, we innovated on our approach to instruction-tuning as well. Our approach to post-training is a combination of supervised fine-tuning (SFT), rejection sampling, proximal policy optimization (PPO), and direct preference optimization (DPO). The quality of the prompts that are used in SFT and the preference rankings that are used in PPO and DPO has an outsized influence on the performance of aligned models. Some of our biggest improvements in model quality came from carefully curating this data and performing multiple rounds of quality assurance on annotations provided by human annotators.

Learning from preference rankings via PPO and DPO also greatly improved the performance of Llama 3 on reasoning and coding tasks. We found that if you ask a model a reasoning question that it struggles to answer, the model will sometimes produce the right reasoning trace: The model knows how to produce the right answer, but it does not know how to select it. Training on preference rankings enables the model to learn how to select it.

Building with Llama 3

Our vision is to enable developers to customize Llama 3 to support relevant use cases and to make it easier to adopt best practices and improve the open ecosystem. With this release, we’re providing new trust and safety tools including updated components with both Llama Guard 2 and Cybersec Eval 2, and the introduction of Code Shield—an inference time guardrail for filtering insecure code produced by LLMs.

We’ve also co-developed Llama 3 with torchtune , the new PyTorch-native library for easily authoring, fine-tuning, and experimenting with LLMs. torchtune provides memory efficient and hackable training recipes written entirely in PyTorch. The library is integrated with popular platforms such as Hugging Face, Weights & Biases, and EleutherAI and even supports Executorch for enabling efficient inference to be run on a wide variety of mobile and edge devices. For everything from prompt engineering to using Llama 3 with LangChain we have a comprehensive getting started guide and takes you from downloading Llama 3 all the way to deployment at scale within your generative AI application.

A system-level approach to responsibility

We have designed Llama 3 models to be maximally helpful while ensuring an industry leading approach to responsibly deploying them. To achieve this, we have adopted a new, system-level approach to the responsible development and deployment of Llama. We envision Llama models as part of a broader system that puts the developer in the driver’s seat. Llama models will serve as a foundational piece of a system that developers design with their unique end goals in mind.

Instruction fine-tuning also plays a major role in ensuring the safety of our models. Our instruction-fine-tuned models have been red-teamed (tested) for safety through internal and external efforts. ​​Our red teaming approach leverages human experts and automation methods to generate adversarial prompts that try to elicit problematic responses. For instance, we apply comprehensive testing to assess risks of misuse related to Chemical, Biological, Cyber Security, and other risk areas. All of these efforts are iterative and used to inform safety fine-tuning of the models being released. You can read more about our efforts in the model card .

Llama Guard models are meant to be a foundation for prompt and response safety and can easily be fine-tuned to create a new taxonomy depending on application needs. As a starting point, the new Llama Guard 2 uses the recently announced MLCommons taxonomy, in an effort to support the emergence of industry standards in this important area. Additionally, CyberSecEval 2 expands on its predecessor by adding measures of an LLM’s propensity to allow for abuse of its code interpreter, offensive cybersecurity capabilities, and susceptibility to prompt injection attacks (learn more in our technical paper ). Finally, we’re introducing Code Shield which adds support for inference-time filtering of insecure code produced by LLMs. This offers mitigation of risks around insecure code suggestions, code interpreter abuse prevention, and secure command execution.

With the speed at which the generative AI space is moving, we believe an open approach is an important way to bring the ecosystem together and mitigate these potential harms. As part of that, we’re updating our Responsible Use Guide (RUG) that provides a comprehensive guide to responsible development with LLMs. As we outlined in the RUG, we recommend that all inputs and outputs be checked and filtered in accordance with content guidelines appropriate to the application. Additionally, many cloud service providers offer content moderation APIs and other tools for responsible deployment, and we encourage developers to also consider using these options.

Deploying Llama 3 at scale

Llama 3 will soon be available on all major platforms including cloud providers, model API providers, and much more. Llama 3 will be everywhere .

Our benchmarks show the tokenizer offers improved token efficiency, yielding up to 15% fewer tokens compared to Llama 2. Also, Group Query Attention (GQA) now has been added to Llama 3 8B as well. As a result, we observed that despite the model having 1B more parameters compared to Llama 2 7B, the improved tokenizer efficiency and GQA contribute to maintaining the inference efficiency on par with Llama 2 7B.

For examples of how to leverage all of these capabilities, check out Llama Recipes which contains all of our open source code that can be leveraged for everything from fine-tuning to deployment to model evaluation.

What’s next for Llama 3?

The Llama 3 8B and 70B models mark the beginning of what we plan to release for Llama 3. And there’s a lot more to come.

Our largest models are over 400B parameters and, while these models are still training, our team is excited about how they’re trending. Over the coming months, we’ll release multiple models with new capabilities including multimodality, the ability to converse in multiple languages, a much longer context window, and stronger overall capabilities. We will also publish a detailed research paper once we are done training Llama 3.

To give you a sneak preview for where these models are today as they continue training, we thought we could share some snapshots of how our largest LLM model is trending. Please note that this data is based on an early checkpoint of Llama 3 that is still training and these capabilities are not supported as part of the models released today.

We’re committed to the continued growth and development of an open AI ecosystem for releasing our models responsibly. We have long believed that openness leads to better, safer products, faster innovation, and a healthier overall market. This is good for Meta, and it is good for society. We’re taking a community-first approach with Llama 3, and starting today, these models are available on the leading cloud, hosting, and hardware platforms with many more to come.

Try Meta Llama 3 today

We’ve integrated our latest models into Meta AI, which we believe is the world’s leading AI assistant. It’s now built with Llama 3 technology and it’s available in more countries across our apps.

You can use Meta AI on Facebook, Instagram, WhatsApp, Messenger, and the web to get things done, learn, create, and connect with the things that matter to you. You can read more about the Meta AI experience here .

Visit the Llama 3 website to download the models and reference the Getting Started Guide for the latest list of all available platforms.

You’ll also soon be able to test multimodal Meta AI on our Ray-Ban Meta smart glasses.

As always, we look forward to seeing all the amazing products and experiences you will build with Meta Llama 3.

Our latest updates delivered to your inbox

Subscribe to our newsletter to keep up with Meta AI news, events, research breakthroughs, and more.

Join us in the pursuit of what’s possible with AI.

Product experiences

Foundational models

Latest news

Meta © 2024

Numbers, Facts and Trends Shaping Your World

Read our research on:

Full Topic List

Regions & Countries

• Publications
• Our Methods
• Short Reads
• Tools & Resources

Read Our Research On:

Partisan divides over K-12 education in 8 charts

K-12 education is shaping up to be a key issue in the 2024 election cycle. Several prominent Republican leaders, including GOP presidential candidates, have sought to limit discussion of gender identity and race in schools , while the Biden administration has called for expanded protections for transgender students . The coronavirus pandemic also brought out partisan divides on many issues related to K-12 schools .

Today, the public is sharply divided along partisan lines on topics ranging from what should be taught in schools to how much influence parents should have over the curriculum. Here are eight charts that highlight partisan differences over K-12 education, based on recent surveys by Pew Research Center and external data.

Pew Research Center conducted this analysis to provide a snapshot of partisan divides in K-12 education in the run-up to the 2024 election. The analysis is based on data from various Center surveys and analyses conducted from 2021 to 2023, as well as survey data from Education Next, a research journal about education policy. Links to the methodology and questions for each survey or analysis can be found in the text of this analysis.

Most Democrats say K-12 schools are having a positive effect on the country , but a majority of Republicans say schools are having a negative effect, according to a Pew Research Center survey from October 2022. About seven-in-ten Democrats and Democratic-leaning independents (72%) said K-12 public schools were having a positive effect on the way things were going in the United States. About six-in-ten Republicans and GOP leaners (61%) said K-12 schools were having a negative effect.

About six-in-ten Democrats (62%) have a favorable opinion of the U.S. Department of Education , while a similar share of Republicans (65%) see it negatively, according to a March 2023 survey by the Center. Democrats and Republicans were more divided over the Department of Education than most of the other 15 federal departments and agencies the Center asked about.

In May 2023, after the survey was conducted, Republican lawmakers scrutinized the Department of Education’s priorities during a House Committee on Education and the Workforce hearing. The lawmakers pressed U.S. Secretary of Education Miguel Cardona on topics including transgender students’ participation in sports and how race-related concepts are taught in schools, while Democratic lawmakers focused on school shootings.

Partisan opinions of K-12 principals have become more divided. In a December 2021 Center survey, about three-quarters of Democrats (76%) expressed a great deal or fair amount of confidence in K-12 principals to act in the best interests of the public. A much smaller share of Republicans (52%) said the same. And nearly half of Republicans (47%) had not too much or no confidence at all in principals, compared with about a quarter of Democrats (24%).

This divide grew between April 2020 and December 2021. While confidence in K-12 principals declined significantly among people in both parties during that span, it fell by 27 percentage points among Republicans, compared with an 11-point decline among Democrats.

Democrats are much more likely than Republicans to say teachers’ unions are having a positive effect on schools. In a May 2022 survey by Education Next , 60% of Democrats said this, compared with 22% of Republicans. Meanwhile, 53% of Republicans and 17% of Democrats said that teachers’ unions were having a negative effect on schools. (In this survey, too, Democrats and Republicans include independents who lean toward each party.)

The 38-point difference between Democrats and Republicans on this question was the widest since Education Next first asked it in 2013. However, the gap has exceeded 30 points in four of the last five years for which data is available.

Republican and Democratic parents differ over how much influence they think governments, school boards and others should have on what K-12 schools teach. About half of Republican parents of K-12 students (52%) said in a fall 2022 Center survey that the federal government has too much influence on what their local public schools are teaching, compared with two-in-ten Democratic parents. Republican K-12 parents were also significantly more likely than their Democratic counterparts to say their state government (41% vs. 28%) and their local school board (30% vs. 17%) have too much influence.

On the other hand, more than four-in-ten Republican parents (44%) said parents themselves don’t have enough influence on what their local K-12 schools teach, compared with roughly a quarter of Democratic parents (23%). A larger share of Democratic parents – about a third (35%) – said teachers don’t have enough influence on what their local schools teach, compared with a quarter of Republican parents who held this view.

Republican and Democratic parents don’t agree on what their children should learn in school about certain topics. Take slavery, for example: While about nine-in-ten parents of K-12 students overall agreed in the fall 2022 survey that their children should learn about it in school, they differed by party over the specifics. About two-thirds of Republican K-12 parents said they would prefer that their children learn that slavery is part of American history but does not affect the position of Black people in American society today. On the other hand, 70% of Democratic parents said they would prefer for their children to learn that the legacy of slavery still affects the position of Black people in American society today.

Parents are also divided along partisan lines on the topics of gender identity, sex education and America’s position relative to other countries. Notably, 46% of Republican K-12 parents said their children should not learn about gender identity at all in school, compared with 28% of Democratic parents. Those shares were much larger than the shares of Republican and Democratic parents who said that their children should not learn about the other two topics in school.

Many Republican parents see a place for religion in public schools , whereas a majority of Democratic parents do not. About six-in-ten Republican parents of K-12 students (59%) said in the same survey that public school teachers should be allowed to lead students in Christian prayers, including 29% who said this should be the case even if prayers from other religions are not offered. In contrast, 63% of Democratic parents said that public school teachers should not be allowed to lead students in any type of prayers.

In June 2022, before the Center conducted the survey, the Supreme Court ruled in favor of a football coach at a public high school who had prayed with players at midfield after games. More recently, Texas lawmakers introduced several bills in the 2023 legislative session that would expand the role of religion in K-12 public schools in the state. Those proposals included a bill that would require the Ten Commandments to be displayed in every classroom, a bill that would allow schools to replace guidance counselors with chaplains, and a bill that would allow districts to mandate time during the school day for staff and students to pray and study religious materials.

Mentions of diversity, social-emotional learning and related topics in school mission statements are more common in Democratic areas than in Republican areas. K-12 mission statements from public schools in areas where the majority of residents voted Democratic in the 2020 general election are at least twice as likely as those in Republican-voting areas to include the words “diversity,” “equity” or “inclusion,” according to an April 2023 Pew Research Center analysis .

Also, about a third of mission statements in Democratic-voting areas (34%) use the word “social,” compared with a quarter of those in Republican-voting areas, and a similar gap exists for the word “emotional.” Like diversity, equity and inclusion, social-emotional learning is a contentious issue between Democrats and Republicans, even though most K-12 parents think it’s important for their children’s schools to teach these skills . Supporters argue that social-emotional learning helps address mental health needs and student well-being, but some critics consider it emotional manipulation and want it banned.

In contrast, there are broad similarities in school mission statements outside of these hot-button topics. Similar shares of mission statements in Democratic and Republican areas mention students’ future readiness, parent and community involvement, and providing a safe and healthy educational environment for students.

• Education & Politics
• Partisanship & Issues
• Politics & Policy

Jenn Hatfield is a writer/editor at Pew Research Center

Most Americans think U.S. K-12 STEM education isn’t above average, but test results paint a mixed picture

About 1 in 4 u.s. teachers say their school went into a gun-related lockdown in the last school year, about half of americans say public k-12 education is going in the wrong direction, what public k-12 teachers want americans to know about teaching, what’s it like to be a teacher in america today, most popular.

1615 L St. NW, Suite 800 Washington, DC 20036 USA (+1) 202-419-4300 | Main (+1) 202-857-8562 | Fax (+1) 202-419-4372 |  Media Inquiries

Research Topics

• Age & Generations
• Coronavirus (COVID-19)
• Economy & Work
• Family & Relationships
• Gender & LGBTQ
• Immigration & Migration
• International Affairs
• Internet & Technology
• Methodological Research
• News Habits & Media
• Non-U.S. Governments
• Other Topics
• Race & Ethnicity
• Email Newsletters

ABOUT PEW RESEARCH CENTER  Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of  The Pew Charitable Trusts .

Copyright 2024 Pew Research Center

Terms & Conditions

Privacy Policy

Cookie Settings

Reprints, Permissions & Use Policy

Planet versus Plastics

Plastic waste has infiltrated every corner of our planet, from oceans and waterways to the food chain and even our bodies. Only 9% of plastic is recycled due to factors including poor infrastructure, technical challenges, lack of incentives, and low market demand.   

“We need legislation that disincentivizes big oil from producing plastic in the first place, coupled with enforced single use plastic taxes and fines,” says Desiree LaBeaud , professor of pediatric infectious diseases and senior fellow at   Stanford Woods Institute for the Environment . “We also need truly compostable alternatives that maintain the convenient lifestyle that plastic allows us now."

Plastic presents a problem like no other. Stanford scholars are approaching it from many angles: exploring the connection between plastic and disease, rethinking how plastic could be reused, and uncovering new ways of breaking down waste. In honor of Earth Day and this year’s theme – Planet vs. Plastics – we’ve highlighted stories about promising solutions to the plastics challenge. 

Environmental changes are altering the risk for mosquito-borne diseases

Our changing climate is dramatically altering the landscape for mosquito-borne diseases, but other changes to the physical environment - like the proliferation of plastic trash - also make an impact, as mosquitos can breed in the plastic waste we discard. 

Since this study published, HERI-Kenya , a nonprofit started by Stanford infectious disease physician Desiree LaBeaud , has launched HERI Hub , a brick and mortar education hub that educates, empowers and inspires community members to improve the local environment to promote health.

Using plastic waste to build roads, buildings, and more

Stanford engineers  Michael Lepech  and  Zhiye Li  have a unique vision of the future: buildings and roads made from plastic waste. In this story, they discuss obstacles, opportunities, and other aspects of transforming or upcycling plastic waste into valuable materials. 

Since this white paper was published, students in Lepech's  life cycle assessment course  have explored the environmental and economic impacts of waste management, emissions, and energy efficiency of building materials for the San Francisco Museum of Modern Arts. In addition to recycled plastic, they proposed a photovoltaic system and conducted comparison studies to maximize the system’s life cycle. This work is being translated into an upcoming publication.

Stanford researchers show that mealworms can safely consume toxic additive-containing plastic

Mealworms are not only able to eat various forms of plastic, as previous research has shown, they can also consume potentially toxic plastic additives in polystyrene with no ill effects. The worms can then be used as a safe, protein-rich feed supplement.

Since this study published, it has inspired students across the world to learn about and experiment with mealworms and plastic waste. Stanford researchers involved with this and related studies have been inundated with requests for more information and guidance from people inspired by the potential solution.

Grants tackle the plastics problem

Stanford Woods Institute has awarded more than $23 million in funding to research projects that seek to identify solutions to pressing environment and sustainability challenges, including new approaches to plastic waste management. 

Converting polyethylene into palm oil

This project is developing a new technology to convert polyethylene — by far the most discarded plastic — into palm oil. The approach could add value to the plastic waste management chain while sourcing palm oil through a less destructive route.

Improving plastic waste management

This project aims to radically change the way plastic waste is processed via a new biotechnology paradigm: engineering highly active enzymes and microbes capable of breaking down polyesters in a decentralized network of “living” waste receptacles. 

More stories from Stanford

Eight simple but meaningful things you can do for the environment.

A new, artistic perspective on plastic waste

Whales eat colossal amounts of microplastics

Event | Pollution and Health

A greener future begins with small steps

Mosquito diseases on the move

Last straw: The path to reducing plastic pollution

Plastic ingestion by fish a growing problem

Stanford infectious disease expert Desiree LaBeaud talks trash, literally, on Stanford Engineering's The Future of Everything podcast.