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100 Questions (and Answers) About Research Methods
- Neil J. Salkind
- Description
"How do I create a good research hypothesis?"
"How do I know when my literature review is finished?"
"What is the difference between a sample and a population?"
"What is power and why is it important?"
In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand the process of research. This invaluable guide answers the essential questions that students ask about research methods in a concise and accessible way.
See what’s new to this edition by selecting the Features tab on this page. Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email [email protected] . Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html .
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"This is a concise text that has good coverage of the basic concepts and elementary principles of research methods. It picks up where many traditional research methods texts stop and provides additional discussion on some of the hardest to understand concepts."
"I think it’s a great idea for a text (or series), and I have no doubt that the majority of students would find it helpful. The material is presented clearly, and it is easy to read and understand. My favorite example from those provided is on p. 7 where the author provides an actual checklist for evaluating the merit of a study. This is a great tool for students and would provide an excellent “practice” approach to learning this skill. Over time students wouldn’t need a checklist, but I think it would be invaluable for those students with little to no research experience."
I already am using 3 other books. This is a good book though.
Did not meet my needs
I had heard good things about Salkind's statistics book and wanted to review his research book as well. The 100 questions format is cute, and may provide a quick answer to a specific student question. However, it's not really organized in a way that I find particularly useful for a more integrated course that progressively develop and builds upon concepts.
comes across as a little disorganized, plus a little too focused on psychology and statistics.
This text is a great resource guide for graduate students. But it may not work as well with undergraduates orienting themselves to the research process. However, I will use it as a recommended text for students.
Key Features
· The entire research process is covered from start to finish: Divided into nine parts, the book guides readers from the initial asking of questions, through the analysis and interpretation of data, to the final report
· Each question and answer provides a stand-alone explanation: Readers gain enough information on a particular topic to move on to the next question, and topics can be read in any order
· Most questions and answers supplement others in the book: Important material is reinforced, and connections are made between the topics
· Each answer ends with referral to three other related questions: Readers are shown where to go for additional information on the most closely related topics
Sample Materials & Chapters
Question #16: Question #16: How Do I Know When My Literature Review Is Finished?
Question #32: How Can I Create a Good Research Hypothesis?
Question #40: What Is the Difference Between a Sample and a Population, and Why
Question #92: What Is Power, and Why Is It Important?
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Final Exam Review for Research Methodology (RES301)
Research Methodology final exam review
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'Research Methods' Practice Quiz Chapter 1
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Research Methodology
Student resources, multiple choice questions.
Research: A Way of Thinking
The Research Process: A Quick Glance
Reviewing the Literature
Formulating a Research Problem
Identifying Variables
Constructing Hypotheses
The Research Design
Selecting a Study Design
Selecting a Method of Data Collection
Collecting Data Using Attitudinal Scales
Establishing the Validity and Reliability of a Research Instrument
Selecting a Sample
Writing a Research Proposal
Considering Ethical Issues in Data Collection
Processing Data
Displaying Data
Writing a Research Report
Questions to test students’ understanding of research methods
How to craft questions for closed book examinations on undergraduate research methods
Adrian Man-Ho Lam
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Emotions and learning: what role do emotions play in how and why students learn, contextual learning: linking learning to the real world, five leadership tips for women in higher education, artificial intelligence and academic integrity: striking a balance.
Research methods are a compulsory component of many undergraduate programmes. But it is challenging to design good questions for assessing students’ understanding of research methods in closed book exams. There is a fine balance between ensuring the often broad and ambitious course objectives and content are fully reflected in the questions while avoiding asking students to replicate all the research procedures.
In the final exam for our research methods class, we include eight to 10 varied questions. Below are some common types:
Defining key concepts and terminologies
While research methods are not purely technical and procedural, there is a need for students to understand the foundational theories before they proceed further. So, we set basic and factual questions to check students’ fundamental understanding of various research concepts and terminologies. This is not aimed at forcing students to memorise definitions or exact wording. We want students to understand and explain concepts in their own words.
- What is a critical case study?
- What is the difference between a panel survey and a longitudinal survey?
Giving real-world examples
The best way for students to demonstrate that they understand the research concepts is by giving real-world examples as concrete illustrations or applications. We go further by asking students to use their own daily experiences and observations to illustrate research concepts in their own words. This process helps students to understand and reflect on how the concepts fit into a greater societal context that is far more interesting.
- Explain what is a measurement reliability , with an example.
- Use an example to illustrate the Belmont Report ethical principle of justice in research involving human subjects.
Application of real-life contexts
Students should be capable of making sense of complex research concepts by applying them in real-life research contexts. But rather than asking them to draft a full research proposal which would involve framing research questions, identifying variables, stating measurement tools, framing research instruments and so on, we can ask questions that focus on just one or two of these components. In this way, we can check whether students understand the crux of various research items.
- Construct an example of 2x2 factorial design in a survey experiment that investigates public opinion towards foreign immigration.
- Write a research question and explain how you can personally use participant observation to answer the question.
Doing simple mathematical calculations
Although students often feel anxious about the quantitative part, it is essential for them to have a basic understanding of the mathematical or statistical steps and procedures relating to research calculations. To check their understanding of fundamental statistical concepts, we ask them to do or describe simple calculations that are manageable under the time and space constraints of the exam.
- Chelsea conducted a survey to study turnout patterns in the last Student Council election. She collected the following data. Consider the respondent’s Grade Point Average, calculate the mean and compare it with the median.
- Describe without using any numbers or mathematical symbols the steps for conducting a t-test for the difference in means .
Offering evidence-based commentaries
To facilitate deeper thinking on a variety of research concepts, we ask students to assess and respond to a number of hypothetical research claims and scenarios, using sound reasoning and concrete evidence.
- Ren Shen suspects that taking Ginseng Tonic will improve academic performance. He surveys his classmates and finds that those who take it have an average GPA score significantly higher than those who do not. He concludes that taking it will improve GPA scores. Is Ren Shen’s causal conclusion a credible one? Explain.
- Suppose you have invented a time machine that allows you to travel between the past and the present. Explain how you may potentially use your machine to solve the fundamental problem of causal inference.
Aligning with real research in the field
To align students’ learning with authentic research, some questions can be rooted in real research. These might include asking students to identify the relevant information in an abstract, summarising the research design, or interpreting the relevant data output and making resulting conclusions. The following research experiment conducted by the team has a number of ethical problems. Identify one of these problems.
- Consider the following regression output. Identify the dependent and independent variables. Which variables are statistically significant? How do you know?
Adrian Man-Ho Lam is course tutor in the department of politics and public administration at the University of Hong Kong.
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Methodology
Research Methods | Definitions, Types, Examples
Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.
First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :
- Qualitative vs. quantitative : Will your data take the form of words or numbers?
- Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
- Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?
Second, decide how you will analyze the data .
- For quantitative data, you can use statistical analysis methods to test relationships between variables.
- For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.
Table of contents
Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.
Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.
Qualitative vs. quantitative data
Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.
For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .
If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .
You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.
Primary vs. secondary research
Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).
If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.
Descriptive vs. experimental data
In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .
In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .
To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.
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Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.
Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.
Qualitative analysis methods
Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:
- From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
- Using non-probability sampling methods .
Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .
Quantitative analysis methods
Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).
You can use quantitative analysis to interpret data that was collected either:
- During an experiment .
- Using probability sampling methods .
Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.
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If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.
- Chi square test of independence
- Statistical power
- Descriptive statistics
- Degrees of freedom
- Pearson correlation
- Null hypothesis
- Double-blind study
- Case-control study
- Research ethics
- Data collection
- Hypothesis testing
- Structured interviews
Research bias
- Hawthorne effect
- Unconscious bias
- Recall bias
- Halo effect
- Self-serving bias
- Information bias
Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.
Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.
In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .
A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.
In statistics, sampling allows you to test a hypothesis about the characteristics of a population.
The research methods you use depend on the type of data you need to answer your research question .
- If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
- If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
- If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.
Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.
Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).
In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .
In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.
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Possible E xam Questions for MB 870 Qualitative Research Methods
Discuss each of the four cells of the table, giving examples of specific methodologies that fit in each one. In addition, discuss the usefulness and sharpness of the qual-quant distinction, and as well as the data-analysis distinction.
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100 Questions (and Answers) About Research Methods
- Neil J. Salkind
- Description
"How do I know when my literature review is finished?"
"What is the difference between a sample and a population?"
"What is power and why is it important?"
In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand the process of research. This invaluable guide answers the essential questions that students ask about research methods in a concise and accessible way.
Sample Materials & Chapters
Question #16: Question #16: How Do I Know When My Literature Review Is Finished?
Question #32: How Can I Create a Good Research Hypothesis?
Question #40: What Is the Difference Between a Sample and a Population, and Why
Question #92: What Is Power, and Why Is It Important?
For instructors
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AQA A-Level Psychology Past Papers With Answers
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Research Specialist
- Madison, Wisconsin
- SCHOOL OF MEDICINE AND PUBLIC HEALTH/NEUROSCIENCE
- Staff-Full Time
- Staff-Part Time
- Opening at: Mar 15 2024 at 16:20 CDT
- Closing at: Mar 29 2024 at 23:55 CDT
Job Summary:
The Research Specialist will join the lab of Professor Robert Fettiplace in the Department of Neuroscience to investigate the mechanism of hearing in cochlear hair cells. The research will focus on using mutant mice to understand the origins of human deafness and will lead to publications in scientific journals.
Responsibilities:
- 40% Conducts research experiments according to established research protocols with moderate impact to the project(s). Collects data and monitors test results
- 45% Operates, cleans, and maintains organization of research equipment and research area. Tracks inventory levels and places replenishment orders
- 5% Reviews, analyzes, and interprets data and/or documents results for presentations and/or reporting to internal and external audiences
- 5% Participates in the development, interpretation, and implementation of research methodology and materials
- 5% Performs literature reviews and writes reports
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion
Preferred Bachelor's Degree Preferred degree focus in biochemistry, molecular biology, physiology or related field.
Qualifications:
Previous experience in molecular biology methods, with ambition to learn new techniques including methods of surgery and dissection. Ability to work with animals is required. The position requires the ability to work with others in the lab. Experience with mouse colony maintenance and genotyping is desired but not required. Experience with immunolabeling and use of confocal microscopy, and cell culture will be helpful.
Full or Part Time: 50% - 100% It is anticipated this position requires work be performed in-person, onsite, at a designated campus work location.
Appointment Type, Duration:
Ongoing/Renewable
Minimum $47,000 ANNUAL (12 months) Depending on Qualifications Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at ( https://hr.wisc.edu/benefits/ ).
Additional Information:
Please be aware that selected applicants are responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. University sponsorship is not available for this position. UW-Madison is not an E-Verify employer, and therefore, is not eligible to employ F1-OPT STEM Extension participants. If you are selected for this position you must provide proof of work authorization and eligibility to work.
How to Apply:
To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience. You will also be asked to provide contact information for three (3) references, including your current/most recent supervisor during the application process. References will not be contacted without prior notice.
Jennifer Scheuer [email protected] 608-262-7953 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Official Title:
Research Specialist(RE047)
Department(s):
A53-MEDICAL SCHOOL/NEUROSCIENCE
Employment Class:
Academic Staff-Renewable
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Do you want to ace your research methods exam? Quizlet can help you with flashcards that cover the key concepts, definitions, and examples of research methods. Learn what is an experiment, an independent variable, a correlation, and more. Test yourself with multiple choice questions and answers, and get instant feedback. Quizlet is the easiest way to study research methods and prepare for your ...
This invaluable guide answers the essential questions that students ask about research methods in a concise and accessible way. Available Formats. ISBN: 9781412992039. Paperback. Suggested Retail Price: $42.00. Bookstore Price: $33.60. ISBN: 9781452235585. Electronic Version. Suggested Retail Price: $36.00.
Research Methods Final Exam Questions. Get a hint. The scientific method: a. provides the "rules of research". b. requires the systematic collection of observations. c. uses statistical methods to analyze these observations. d. all of the above. Click the card to flip 👆. d. all of the above.
See Full PDFDownload PDF. Final Exam Review for Research Methodology (RES301): 1. Define the term "Review of Literature", and what is objectives and significance of review of literature? A literature review is an evaluative report of information found in the literature related to your selected area of study.
A "hypothesis" is the research methods term used to describe the expected relationship between variables. ... Deductive reasoning starts with a theoretical idea and then sets out to test that idea. True. correct incorrect. ... _____ research deals with the data and numbers and relies on statistical analysis to address research questions and ...
Research Methods Final (Multiple Choice) 5.0 (1 review) Which of the following is research? a) Finding answers to a question in a logical, orderly, and systematic fashion. b) Systematic and objective analysis of controlled observations that hopefully will lead to the development of generalizations, principles, and theories.
Qualitative Comprehensive Exam Questions, Spring 2015. 1. How can a qualitative researcher enhance the validity and reliability of their study throughout the research process, from the methodology chosen, the research design, the data analysis, and the presentation of their results? 2. You are a new faculty member at a local college.
8. Which of the following is a research method that allows a researcher to get information about a large number of subjects relatively inexpensively and easily? Naturalistic observation. Case study. Laboratory observation. Survey. 9. What is a common way of controlling extraneous variables in an experiment?
Chapter 12: Classical Qualitative Methods. Chapter 13: Contextual Qualitative Methods. Chapter 14: Research Ethics. Chapter 15: Conclusion: Managing Uncertainty in Psychological Research. Revise your knowledge with these multiple choice quiz questions.Chapter 2: Research in Psychology: Objectives and IdealsChapter 3: Research Methods.
The Research Process: A Quick Glance. Reviewing the Literature. Formulating a Research Problem. Identifying Variables. Constructing Hypotheses. The Research Design. Selecting a Study Design. Selecting a Method of Data Collection. Collecting Data Using Attitudinal Scales.
a) Describe in details what you understand by the following sampling methods: i) Probability sampling. ii) Non-probability sampling. b) Explain the purpose of carrying out research. QUESTION FOUR (20 MARKS) a) What is the purpose of sampling in research? b) Describe the steps used in computerized data analysis.
Data analysis in research methods refers to the process of transforming raw data into meaningful and interpretable information to answer research questions, test hypotheses, or conclude. It ...
Research Methods Exam 1 Essay Questions. Define and differentiate concepts, attributes, and variables. Explain the 2 types of variables. Variables have attributes. Male and female are attributes. Sex or gender is the variables. Variable is occupation. Farmer, engineer, teacher are attributes. Variables are a set of attributes.
0. Research methods are a compulsory component of many undergraduate programmes. But it is challenging to design good questions for assessing students' understanding of research methods in closed book exams. There is a fine balance between ensuring the often broad and ambitious course objectives and content are fully reflected in the ...
The research methods you use depend on the type of data you need to answer your research question. If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
A ccording to Thomas Kuhn, qualitative methods are not well-suited for testing hypotheses. Discuss this claim. Consider the following statement: "Very often, coding is not only how qualitative research is done, it is what we are studying when we do qualitative research.". Explain what this refers to, and discuss.
Designed for students, researchers, and individuals interested in the scientific process, our quizzes cover a wide range of research methods and techniques. Through a series of thought-provoking questions, you'll explore the principles and practices that underpin qualitative and quantitative research. With our interactive platform, you can test ...
This invaluable guide answers the essential questions that students ask about research methods in a concise and accessible way. 100 Questions (and Answers) about Research Methods summarizes the most important questions that lie in those inbetween spaces that one could ask about research methods while providing an answer as well. This is a short ...
Study with Quizlet and memorize flashcards containing terms like A background in research methods will help people a. read research reports critically b. evaluate the methods used in research studies c. decide whether research conclusions are reasonable d. all of these, the four general goals of scientific research are to a. explain, examine, predict and manipulate behavior b.. describe ...
The past papers are free to download for you to use as practice for your exams. Paper 1: Introductory Topics. Paper 2: Psychology in Context. Paper 3: Issues and Options. AS Psychology (7181): Paper 1. A-Level Psychology (7182): Paper 1. 72 Marks.
7.1 Research Methods. A psychologist was interested in finding out whether dream themes differed between males and females, particularly in terms of social interaction. She decided to conduct a pilot study. Twenty undergraduate students (8 male and 12 female) volunteered for the study. For a six-week period the students were interviewed at 9 am ...
A researcher investigated the relationship between test length and grades in an Introductory Psychology course. She conducted an experiment and found that students taking long exams received better grades than students who took short exams. The independent variable was 1. short exams 2. test grades 3. class size 4. gender of student 5. length ...
Research on modified lumped parameter method in torsional vibration analysis of reciprocating compressor shaft ... Wang Y, Wang K, Yu X, et al. (2020) Research on torsional vibration test of reciprocating compressor shaft system. Petroleum machinery 48 ... Frequently asked questions; Journal of Vibration and Control ISSN: 1077-5463; Online ISSN ...
Job Summary: The Research Specialist will join the lab of Professor Robert Fettiplace in the Department of Neuroscience to investigate the mechanism of hearing in cochlear hair cells. The research will focus on using mutant mice to understand the origins of human deafness and will lead to publications in scientific journals. Responsibilities: Develops, designs, and conducts one or more ...
Identify two problems with the survey technique. A survey is usually a large-scale study / designed to gather information from large numbers of people. An example is the Hite report (or any other suitable example). (3 marks) Two key problems with surveys are response bias / and sampling difficulties. (2 marks)