Planning your PhD

Research methodology MCQs with answers

Topic-wise practice questions with the answer and the reason, linked to a guide for each concept.

Last reviewed · 15 min read

Here are 40 original research methodology MCQs with answers, in eight topic groups, each followed by a one-line explanation and, where we have one, a link to our guide on that concept. They are written for PhD coursework exams, university research entrance tests (RETs) and the research aptitude questions in UGC NET Paper I. We wrote every question ourselves, so none of them is a previous year question.

Try each question before you open “Show answer”. Committing to an answer first shows you what you actually know; reading the answers straight through only shows you what looks familiar. Where you get one wrong, the explanation names the idea you missed, and the linked guide explains it properly.

For timed practice, our free research methodology quiz deals ten random questions at a time from a larger bank of 61 and scores you by topic. How coursework itself is organised, including the compulsory Research and Publication Ethics course, is in our PhD coursework guide. Last reviewed September 2026.

MCQs on types of research and research approaches

These questions check whether you can classify research by its purpose (basic or applied), its reasoning (inductive or deductive) and its approach (positivist or interpretive, quantitative or qualitative). Most wrong answers come from reading the example too fast. Ask what the researcher is trying to achieve, not what the topic is.

Many questions across all eight topics are built on one of the pairs below. Learn the pairs and a good share of the questions answer themselves.

Pairs of terms that exam questions like to set against each other
TermOften confused withThe difference in one line
Inductive reasoningDeductive reasoningInduction goes from particular cases to a general conclusion; deduction goes from a general premise to a particular one.
Independent variableDependent variableThe independent variable is the presumed cause; the dependent variable is the outcome.
ModeratorMediatorA moderator changes when or how strongly X affects Y; a mediator is the route by which X affects Y.
Stratified samplingCluster samplingStratified samples from every group; cluster picks some whole groups at random.
ReliabilityValidityReliability is consistency; validity is measuring the right thing.
QuestionnaireScheduleA respondent fills in a questionnaire; an enumerator fills in a schedule.
Type I errorType II errorType I rejects a true null hypothesis; Type II fails to reject a false one.
FabricationFalsificationFabrication invents data; falsification alters or leaves out real data.

1. Research carried out mainly to find a solution to an immediate, practical problem facing a community or an organisation is called:

  1. Fundamental research
  2. Conceptual research
  3. Applied research
  4. Historical research
Show answer

Answer: (c) Applied research. Applied research is aimed at solving a specific practical problem; fundamental (basic) research aims at generalisations and theory building.

2. Which kind of reasoning moves from specific observations to a general conclusion?

  1. Inductive reasoning
  2. Deductive reasoning
  3. Hypothetico-deductive reasoning
  4. Syllogistic reasoning
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Answer: (a) Inductive reasoning. Induction generalises from particular cases; deduction works from a general premise to a specific conclusion that follows from it.

3. In the positivist approach to research, valid knowledge about the world comes mainly from:

  1. Tradition and the authority of experts
  2. The researcher’s intuition
  3. The meanings that each participant constructs
  4. Observable evidence that can be measured and checked
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Answer: (d) Observable evidence that can be measured and checked. Positivism treats as knowledge what can be observed, measured and verified; the focus on meanings constructed by participants belongs to interpretivism.

4. A scholar studies colonial-era land revenue records to explain how present-day tenancy patterns in a district came about. This is:

  1. Experimental research
  2. Historical research
  3. Action research
  4. Survey research
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Answer: (b) Historical research. Historical research reconstructs and explains past events from records and other surviving sources.

5. Which statement best describes qualitative research?

  1. It seeks an in-depth understanding of meanings and experiences, mostly from words, observation or images
  2. It never uses any form of sampling
  3. It always begins with a hypothesis to be tested statistically
  4. It cannot be used in a PhD thesis
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Answer: (a) It seeks an in-depth understanding of meanings and experiences, mostly from words, observation or images. Qualitative research studies meaning and experience in depth, usually through interviews, observation or documents; it samples purposefully and does not need a hypothesis. Read more: Types of research design: which one fits your research question

MCQs on the research problem, hypotheses and variables

Variable questions usually describe a study in one sentence and ask you to name the role of one variable. Decide first what the outcome is. That is the dependent variable, and every other role is defined by how it relates to that outcome. How variables are drawn together in a thesis is covered in our guide to theoretical and conceptual frameworks.

6. A study tests whether the number of hours of weekly coaching affects candidates’ UGC NET scores. Here, hours of weekly coaching is the:

  1. Dependent variable
  2. Extraneous variable
  3. Moderating variable
  4. Independent variable
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Answer: (d) Independent variable. The independent variable is the presumed cause; the NET score is the dependent variable, the outcome being explained. Read more: How to write a research hypothesis

7. A null hypothesis (H0) usually states that:

  1. The researcher’s prediction is true
  2. There is no difference or no relationship in the population
  3. The sample was chosen with bias
  4. The result has practical importance
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Answer: (b) There is no difference or no relationship in the population. H0 is the statement of no effect that the test tries to reject; the alternative hypothesis (H1) states the difference or relationship the researcher expects. Read more: How to write a research hypothesis

8. Which of these is a testable research hypothesis?

  1. Social media is bad for society
  2. Students should use social media wisely
  3. Undergraduates who use social media for more than three hours a day have lower sleep quality scores than those who use it for less than one hour
  4. Is social media good or bad for students?
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Answer: (c) Undergraduates who use social media for more than three hours a day have lower sleep quality scores than those who use it for less than one hour. A testable hypothesis names measurable variables and makes a specific prediction that data could prove wrong; the other options are an opinion, advice and a question. Read more: How to write a research hypothesis

9. A variable that changes the strength or direction of the relationship between an independent and a dependent variable is a:

  1. Moderating variable
  2. Mediating variable
  3. Dependent variable
  4. Control variable
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Answer: (a) Moderating variable. A moderator affects when or how strongly X relates to Y; a mediator explains how or why X affects Y. Read more: Mediation and moderation analysis: the difference and how to test each

10. Education raises income, and higher income in turn improves health. In the link between education and health, income is a:

  1. Moderating variable
  2. Dependent variable
  3. Mediating variable
  4. Dummy variable
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Answer: (c) Mediating variable. A mediator sits on the path between X and Y and carries part or all of the effect of X on Y. Read more: Mediation and moderation analysis: the difference and how to test each

MCQs on research design

Design questions turn on one or two details in the description: whether participants were randomly assigned, whether data were collected once or repeatedly, and which method came first in a mixed-methods study. Underline those details before you read the options.

11. The feature that defines a true experimental design is:

  1. A large sample
  2. Random assignment of participants to groups
  3. Use of a structured questionnaire
  4. Data collection over several years
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Answer: (b) Random assignment of participants to groups. Random assignment makes the groups comparable before the treatment, so a later difference can be attributed to the treatment. Read more: Types of research design: which one fits your research question

12. A study that collects data from people of different age groups at a single point in time uses which design?

  1. Longitudinal
  2. Panel
  3. Cross-sectional
  4. Cohort
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Answer: (c) Cross-sectional. A cross-sectional design takes one snapshot in time; longitudinal, panel and cohort designs follow people over time. Read more: Types of research design: which one fits your research question

13. A teacher compares two existing class sections, teaching one with a new method and the other as usual, without randomly assigning students. This is:

  1. A quasi-experimental design
  2. A true experimental design
  3. A historical design
  4. An ethnographic design
Show answer

Answer: (a) A quasi-experimental design. An intervention with a comparison group but no random assignment is quasi-experimental, so differences that already existed between the sections remain a threat. Read more: Types of research design: which one fits your research question

14. A scholar runs a survey first and then interviews some respondents to explain unexpected survey results. Which mixed-methods design is this?

  1. Exploratory sequential
  2. Convergent parallel
  3. Embedded experimental
  4. Explanatory sequential
Show answer

Answer: (d) Explanatory sequential. In an explanatory sequential design the quantitative phase comes first and the qualitative phase follows to explain it; exploratory sequential runs the other way round. Read more: Types of research design: which one fits your research question

15. Which design aims to describe the characteristics of a population or situation as they exist, without manipulating anything?

  1. Experimental design
  2. Descriptive design
  3. Randomised controlled trial
  4. Action research
Show answer

Answer: (b) Descriptive design. Descriptive research reports what exists, such as the profile of MSME owners in a district; experiments, trials and action research introduce a change. Read more: Types of research design: which one fits your research question

MCQs on sampling methods

The first split in sampling is probability against non-probability: does every unit have a known chance of being selected? After that, check whether the researcher samples from within every group (stratified) or picks some whole groups (cluster). Questions on how many people to sample belong with our sample size guide.

16. In simple random sampling:

  1. The researcher picks the most typical members
  2. Respondents recruit other respondents
  3. Only volunteers are included
  4. Every member of the population has an equal chance of being selected
Show answer

Answer: (d) Every member of the population has an equal chance of being selected. Simple random sampling gives each unit the same known chance of selection, for example by drawing random numbers against a complete list. Read more: Sampling techniques in research: which method to use and how to defend it

17. A researcher divides colleges into rural and urban groups and draws a random sample from each group. This is:

  1. Stratified random sampling
  2. Cluster sampling
  3. Quota sampling
  4. Snowball sampling
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Answer: (a) Stratified random sampling. Stratified sampling draws a random sample within each subgroup (stratum); quota sampling fills subgroup targets without random selection. Read more: Sampling techniques in research: which method to use and how to defend it

18. Which of these is a non-probability sampling method?

  1. Systematic sampling
  2. Cluster sampling
  3. Stratified random sampling
  4. Purposive sampling
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Answer: (d) Purposive sampling. In purposive sampling the researcher picks cases by judgement, so the chance of selection is unknown; the other three rely on random selection. Read more: Sampling techniques in research: which method to use and how to defend it

19. To study borrowers of informal moneylenders, for whom no list exists, a researcher asks each respondent to refer others like them. This is:

  1. Systematic sampling
  2. Snowball sampling
  3. Cluster sampling
  4. Simple random sampling
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Answer: (b) Snowball sampling. Snowball sampling reaches hidden or hard-to-list groups through referrals, at the cost of a likely bias towards well-connected people. Read more: Sampling techniques in research: which method to use and how to defend it

20. The list of units from which a sample is actually drawn, such as an electoral roll or a list of colleges, is called the:

  1. Sampling error
  2. Parameter
  3. Sampling frame
  4. Sample size
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Answer: (c) Sampling frame. The sampling frame is the working list of the population; units missing from it can never be selected. Read more: Sampling techniques in research: which method to use and how to defend it

MCQs on scales of measurement, reliability and validity

Scale questions are easy marks once you ask two things: does the order of the values mean something, and is there a true zero? For reliability and validity, ask whether the question is about consistency or about measuring the right thing.

21. Respondents rank five brands of tea from most preferred to least preferred. The data are on which scale?

  1. Nominal
  2. Interval
  3. Ordinal
  4. Ratio
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Answer: (c) Ordinal. Ranks show order but not the size of the gaps between positions, which makes them ordinal. Read more: Choosing the right statistical test

22. Temperature measured in degrees Celsius is on which scale of measurement?

  1. Interval
  2. Nominal
  3. Ordinal
  4. Ratio
Show answer

Answer: (a) Interval. Celsius has equal intervals but no true zero (0 °C does not mean an absence of heat), so 40 °C is not twice as hot as 20 °C.

23. Monthly household income in rupees is measured on which scale?

  1. Nominal
  2. Ordinal
  3. Interval
  4. Ratio
Show answer

Answer: (d) Ratio. Income has equal intervals and a true zero, so ratios make sense: ₹40,000 is twice ₹20,000.

24. The reliability of a research instrument refers to:

  1. Whether it measures what it claims to measure
  2. How consistently it measures
  3. How many items it contains
  4. Whether it has been published before
Show answer

Answer: (b) How consistently it measures. Reliability is consistency of measurement; whether the instrument measures the intended construct is a question of validity. Read more: Reliability and validity in research

25. Cronbach’s alpha is used to check:

  1. Normality of the data
  2. Content validity
  3. Internal consistency reliability of a multi-item scale
  4. Adequacy of the sample for factor analysis
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Answer: (c) Internal consistency reliability of a multi-item scale. Alpha shows how consistently the items of one scale measure the same construct, and 0.70 is the minimum most examiners expect. Read more: Reliability and validity in research

MCQs on data collection tools

These questions cover where data come from and the instruments used to collect them. Kothari’s textbook, which many Indian universities use, separates a questionnaire from a schedule, so that distinction is worth knowing for university exams. Our methodology chapter guide shows how the same choices are written up in a thesis.

26. Data that a researcher collects first-hand for the current study, for example through a survey, are called:

  1. Secondary data
  2. Primary data
  3. Tertiary data
  4. Metadata
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Answer: (b) Primary data. Primary data are original data gathered for the study at hand; data collected earlier by someone else for another purpose are secondary. Read more: How to write the research methodology chapter

27. A thesis uses figures from Census of India reports and RBI publications. For this thesis, these are:

  1. Primary data
  2. Experimental data
  3. Secondary data
  4. Observational field notes
Show answer

Answer: (c) Secondary data. Data collected and published by another agency for its own purposes are secondary data for the researcher who reuses them. Read more: How to write the research methodology chapter

28. “How satisfied are you with your salary and your working hours?” is a weak questionnaire item mainly because it is:

  1. Double-barrelled
  2. Too short
  3. Open-ended
  4. Written in the second person
Show answer

Answer: (a) Double-barrelled. It asks about two things but allows one answer, so a respondent happy with the salary and unhappy with the hours cannot answer accurately. Read more: Designing a research questionnaire

29. An interview in which the researcher follows a prepared guide of main questions but can change their order and ask follow-up probes is:

  1. Structured
  2. Unstructured
  3. Semi-structured
  4. A focus group
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Answer: (c) Semi-structured. Semi-structured interviews combine a set guide with flexibility; structured interviews fix the wording and order, and unstructured ones have no set guide. Read more: Semi-structured interviews for qualitative PhD research

30. A schedule differs from a questionnaire mainly because a schedule is:

  1. Always sent by post
  2. Used only for children
  3. Made up only of open-ended questions
  4. Filled in by an enumerator who asks the questions and records the answers
Show answer

Answer: (d) Filled in by an enumerator who asks the questions and records the answers. Respondents complete a questionnaire themselves, whereas an enumerator fills in a schedule, which suits respondents who cannot easily read or write the form. Read more: Designing a research questionnaire

MCQs on statistics and hypothesis testing

At this level most statistics questions ask you to choose a test or read a result, not to calculate. For p-values, keep one definition in mind: the probability of results at least this extreme if the null hypothesis were true. Our hypothesis testing guide covers errors and tails, and the statistical test chooser walks through the choice of test.

31. A Type I error occurs when a researcher:

  1. Fails to reject a null hypothesis that is false
  2. Rejects a null hypothesis that is true
  3. Uses a sample that is too small
  4. Uses a one-tailed test
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Answer: (b) Rejects a null hypothesis that is true. A Type I error is a false positive, and its probability is the significance level α; failing to reject a false H0 is a Type II error. Read more: Hypothesis testing explained: p-values, errors and tails

32. A test gives p = 0.03, and the significance level was set at 0.05. What follows?

  1. There is a 3% probability that the null hypothesis is true
  2. The effect is large and practically important
  3. The null hypothesis is rejected at the 5% level of significance
  4. The study had 97% power
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Answer: (c) The null hypothesis is rejected at the 5% level of significance. Because p is below α, H0 is rejected; p is the probability of data at least this extreme if H0 were true, not the probability that H0 is true. Read more: Hypothesis testing explained: p-values, errors and tails

33. To compare the mean scores of three or more independent groups on a continuous outcome, the usual parametric test is:

  1. One-way ANOVA
  2. Paired t-test
  3. Chi-square test
  4. Pearson correlation
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Answer: (a) One-way ANOVA. One-way ANOVA compares three or more group means at once; running several t-tests instead inflates the Type I error rate. Read more: Choosing the right statistical test

34. To test whether gender is associated with the type of bank a customer prefers (public, private or cooperative), the suitable test is:

  1. Independent samples t-test
  2. One-way ANOVA
  3. Pearson correlation
  4. Chi-square test of independence
Show answer

Answer: (d) Chi-square test of independence. Both variables are categories, so the chi-square test of independence compares the observed and expected counts in the cross-table. Read more: Choosing the right statistical test

35. Which measure of central tendency is least affected by a few extremely high values, such as a handful of very large incomes?

  1. Arithmetic mean
  2. Median
  3. Weighted mean
  4. Mean of the highest and lowest values
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Answer: (b) Median. The median depends only on the middle position, so extreme values barely move it, while the mean is pulled towards them.

MCQs on research ethics, plagiarism and referencing

This group covers research ethics, the UGC plagiarism rules and citation styles, which is much of the ground of the Research and Publication Ethics course. Questions on similarity levels quote the UGC regulations of 2018. Your own university may set a stricter limit, and that is the one that applies to your thesis.

36. Under the UGC plagiarism regulations of 2018, what level of similarity in a thesis falls in Level 0, with no penalty?

  1. Up to 10%
  2. Up to 20%
  3. Up to 30%
  4. Up to 40%
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Answer: (a) Up to 10%. Level 0 covers similarity up to 10%, but universities may set stricter rules and their own exclusions, so check your ordinance. Read more: Plagiarism limits for PhD theses in India

37. Valid informed consent means that participants:

  1. Are paid for taking part
  2. Sign the form before they are told what the study involves
  3. Agree voluntarily after being told the purpose, procedures, risks and their right to withdraw
  4. Are kept unaware of the purpose so that their answers are not biased
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Answer: (c) Agree voluntarily after being told the purpose, procedures, risks and their right to withdraw. Consent is informed and voluntary only when participants understand what they are agreeing to and know they can withdraw without penalty. Read more: Research ethics approval for a PhD in India: when you need it and what to submit

38. Publishing substantially the same findings in two journals without telling either journal is:

  1. Fabrication
  2. Duplicate (redundant) publication
  3. Falsification
  4. Ghost authorship
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Answer: (b) Duplicate (redundant) publication. Duplicate publication presents the same work as new twice; the UGC Research and Publication Ethics course covers it alongside fabrication, falsification and plagiarism. Read more: PhD coursework and the RPE course

39. Changing or leaving out data so that the results appear to support the hypothesis is:

  1. Fabrication
  2. Plagiarism
  3. Paraphrasing
  4. Falsification
Show answer

Answer: (d) Falsification. Falsification is manipulating or omitting data or results; fabrication is inventing data that were never collected. Read more: PhD coursework and the RPE course

40. In APA 7th edition style, a standard in-text citation gives:

  1. A number in square brackets
  2. The author’s surname and the year of publication
  3. The full title of the work
  4. The DOI of the work
Show answer

Answer: (b) The author’s surname and the year of publication. APA is an author-date style, as in (Sharma, 2021); numbered citations in square brackets belong to styles such as IEEE. Read more: APA 7 formatting guide for theses

FAQ

Questions scholars ask

Are these previous year UGC NET questions?

No. We wrote all 40 to test the concepts that research methodology papers keep returning to, and none is copied or adapted from a past paper or a question bank. For the real thing, the National Testing Agency posts answer keys for recent UGC NET sessions on ugcnet.nta.ac.in.

How many research aptitude questions come in UGC NET Paper I?

The NTA bulletin fixes the paper as a whole, 50 questions for 100 marks, but it does not publish a fixed number of questions for each unit. Counts you see quoted for research aptitude are estimates from past papers, so prepare the unit fully rather than to a number.

Does the PhD coursework exam have multiple-choice questions?

It depends on the university. Many coursework exams are written papers with essay and short-answer questions, as our coursework guide describes, while entrance tests are more often objective. Ask your department for previous papers. MCQ practice still helps with written exams, because it makes you sure of the definitions you will need to explain.

Which textbooks do these questions follow?

The answers follow the standard definitions found in textbooks such as C. R. Kothari and Gaurav Garg’s Research Methodology: Methods and Techniques and John W. Creswell’s Research Design. Where terms vary between books, we have avoided the question or used the most common usage. Your own syllabus reading list comes first.

What is the quickest way to revise research methodology before an exam?

Learn the confused pairs in the table above, then answer these questions without looking. Take a round or two of the quiz to test yourself on questions you haven’t seen. For every topic where you drop marks, read the linked guide and write a three-line answer in your own words, because written papers expect you to explain as well as recognise.

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