Dissertation Limitations Examples: 12 Limitations Students Commonly Report Incorrectly

Strong dissertation limitations examples explain what a weakness did to your findings, and most student drafts never do this. In my years of supporting dissertation research, I have read many limitations sections that were a list of weaknesses with an apology attached. Examiners do not give marks for apologies.

This guide gives you 12 dissertation limitations examples, each with the weak version, the reason it fails and a stronger rewrite. It is my opinion, so I will disagree with some common advice. A free self-audit checklist is near the end.

What Are the Limitations of the Study in Dissertation?

Limitations of the study in dissertation are constraints in design, sampling, data or method that you could not fully control, and that affect how far your findings can be trusted or applied. A strong limitation names the constraint, explains its effect on the results, and states what you did to reduce it.

USC’s research guide describes limitations as characteristics of design or methodology that influenced how findings can be interpreted. See the USC guide on limitations of the study for more. APA’s reporting standards for quantitative work also ask authors to report limitations alongside details such as effect sizes and confidence intervals. See APA JARS-Quant for the full list.

Why Most Limitations Sections Lose Marks

The generic weakness list

Most drafts say “small sample” and stop there, which leaves the examiner asking “so what?” and that question is the real marking criterion. The USC guide makes the same point when it tells students not to only list weaknesses but to judge how much each limitation matters.

What examiners look for

In my experience, examiners check three things: whether you spotted the weakness before they did, whether you said which finding it touches, and whether you avoided claiming more than your data allows. The best dissertation limitations examples I have read are short, specific and calm, and they sound like someone who knows their data well.

How to Write Limitations of a Study: The 3-Part Formula

To write the limitations of a study, name each limitation precisely, explain how it may affect a specific finding, and state what you did to reduce it. Report only limitations that could change your conclusions. Place each near the finding it affects, or gather them in one section before the conclusion.

1. Name it precisely. Write “convenience sample of 85 MBA alumni”, not “sampling issues”.
2. Explain the consequence. Say which finding is affected and in which direction it may be wrong.
3. State the mitigation and what stays intact. Say what you did about it and which conclusions still hold.

The formula turns weak dissertation limitations examples into strong ones. Here it is in two sentences: “Participants came from one university’s alumni group, so career satisfaction may be higher than among all graduates. I compared respondent demographics with national data, so findings are presented as exploratory.”

Your Methods chapter should support each claim, so it helps to practise explaining methodological limitations there before you write the Discussion.

Research Limitations vs Delimitations

Limitations are weaknesses outside your control, found during or after the study. Delimitations are boundaries you set on purpose at the design stage. Assumptions are things you accept as true without testing them.

	Limitations	Delimitations
Who decides	Circumstances	You
When it appears	During or after the study	At the design stage
Example	Low response rate	Studying only nurses in public hospitals
Usual place	Discussion chapter	Introduction or Methods

CASRAI’s dictionary entry treats limitations as things that are identified afterwards and are not chosen by the researcher. I mostly agree, but I would soften “not chosen”. Picking a cross-sectional design because you have one semester is your decision, yet its consequences are still limitations. Say which part was a choice and which part was circumstance.

Things that are not limitations

These lines appear in many drafts, and I would remove them:

• “Lack of time” on its own, because every dissertation has a deadline.
• “I am a first-time researcher.”
• “Limited literature”. This is a research gap, so put it in your literature review.

Common Research Limitations Examples: 12 Mistakes Students Make

Here are 12 dissertation limitations examples at a glance. A detailed rewrite of each follows.

#	Limitation	Common mistake	What to explain
1	Small sample size	Saying “results cannot be generalised”	Power and Type II error
2	Selection bias	Only naming the sampling method	Who is missing and in which direction
3	Non-response bias	Quoting the response rate alone	How non-responders may differ
4	Self-reported data	Writing “may be biased”	Type of bias and its effect
5	Cross-sectional design	Using causal words in results	Association, not direction
6	Measurement error	Writing “may contain errors”	Reliability value and its effect
7	Limited generalisability	Cancelling your own findings	To whom findings may apply
8	Confounding variables	Writing “other factors”	Which variable, which direction
9	Attrition	Mentioning dropouts only	How dropouts differ
10	Researcher bias	Naming it without a safeguard	Your position and checks
11	Secondary data	Writing “secondary data was used”	What the dataset could not test
12	Access and ethics limits	Blaming time	What the constraint excluded

Every number in the rewrites below is a placeholder. Replace it with your own data.

Use these examples to learn the structure, then write your own wording. Identical phrasing across students can trigger similarity checks, and a generic-sounding section is the first thing a supervisor questions. If a supervisor has already told you your draft reads like AI, read supervisor said my dissertation sounds like AI.

1. Small sample size

A small sample lowers statistical power, which is your chance of detecting a real effect.

Cohen (1988) shows about 64 per group are needed for 80% power at this effect size. Check yours in G*Power or the sample size calculator. Read about interpreting nonsignificant results so you do not confuse low power with no effect. Missing data also shrinks your usable sample, so report the impact of missing observations too.

For interviews, Guest, Bunce and Johnson (2006) found most themes appeared within the first twelve, so do not call a saturated sample a weakness.

2. Selection bias and convenience sampling

Selection bias arises when the people you studied differ systematically from the people you wanted to understand.

Read the limitations of convenience sampling and how to defend the choice. If you can plan ahead, compare stratified vs cluster sampling.

Illustrative scenario: A student surveyed workplace stress through her own LinkedIn contacts and got mostly IT managers. Writing down who was missing (shift workers, junior staff) turned her supervisor’s challenge into a short discussion.

3. Non-response bias

Non-response bias occurs when people who did not reply differ from those who did.

In my view, a bare percentage is the weakest way to report this, because the reader still cannot tell which way the results are pushed.

4. Self-reported data

Self-report bias includes recall error, social desirability and common method bias, which occurs when one person reports both variables (Podsakoff et al., 2003).

5. Cross-sectional design

A cross-sectional design measures variables once, so it shows association, not sequence.

Of all the dissertation limitations examples here, this is the one I see contradicted most: causal verbs in the Results chapter and a one-line apology in the limitations. Read about the limitations of cross-sectional research before you finalise your wording.

6. Measurement error

Measurement error is the gap between what your instrument records and the true value. It threatens reliability and construct validity.

If you built your own scale, report the limitations of self-developed measurement instruments as well.

Illustrative scenario: A nursing student built her own anxiety scale to save time. The first viva question was about validity. Because the alpha value and its likely effect were already written down, the discussion moved on quickly.

7. Limited generalisability

Generalisability, also called external validity, is how far findings apply beyond your sample.

Many dissertation limitations examples online end with “cannot be generalised”. I would not copy that line. Say to whom your findings may apply, and to whom they may not.

For qualitative work, use transferability (Lincoln and Guba, 1985) and describe the context richly so readers can judge the fit. Case study designs trade breadth for depth, so see case study vs survey research design before choosing your wording.

8. Confounding variables

A confounder influences both your predictor and your outcome. It threatens internal validity.

I prefer naming one concrete confounder over a general line about other factors, because a named variable shows you actually thought about your data.

9. Attrition

Attrition is the loss of participants between measurements.

In my view, reporting attrition without comparing dropouts to completers is only half the job. Pre-post designs also lose power when cases drop out, so see paired t-test vs repeated measures ANOVA for how your analysis choice interacts with missing cases.

10. Researcher bias and positionality

Positionality is how your background and relationship to the topic shape data collection and interpretation.

Braun and Clarke (2019) treat the researcher’s subjectivity as a resource to be acknowledged, not a flaw to be hidden. I agree. Hiding it is the real weakness.

11. Secondary data not built for your question

Secondary data was collected for another purpose, so it may not fit your variables.

I would rather see you say plainly what the dataset cannot answer than stretch it to fit, because examiners spot a stretched hypothesis quickly. Choose your source with care: see primary vs secondary data before you commit.

12. Access and ethics constraints

These are limits set by gatekeepers, ethics committees or funding.

Time on its own is not a limitation. What the time limit excluded is.

Dissertation Limitations Examples by Method: Quantitative, Qualitative and Mixed

Method	Typical limitations	Watch for
Quantitative	Small sample, non-response, measurement error, confounding	Power, validity, reliability
Qualitative	Transferability, positionality, purposive sampling	Reflexivity, saturation claims
Mixed methods	Integration, sequencing, unequal sample sizes in each strand	How the two strands were combined

APA’s JARS-Mixed standards ask authors to explain clearly how the qualitative and quantitative parts were integrated, so a mixed-methods limitation that ignores integration will look incomplete. For qualitative reporting, see Levitt et al. (2018), the task force report behind JARS-Qual.

How to Discuss Limitations Without Weakening Your Research

Here is how to discuss limitations without weakening research, in three rules. Many guides say to list as many limitations as possible to show honesty, but I disagree, because in my opinion four to six well-explained limitations protect you better than fifteen vague ones.

• Choose limitations that threaten your conclusions, not every small flaw.
• Use calm, factual words such as “may overstate” and “should be read as”. Avoid “unfortunately” and “failed”.
• Pair each limitation with a mitigation. Compare your sample with national data, check early vs late respondents, use validated scales, add control variables, or keep a reflexive journal.

Dissertation limitations examples work best when each one carries its own mitigation, because the reader then sees a researcher in control.

Turn limitations into future research

Strong dissertation limitations examples end by pointing to the next study. For instance: “A longitudinal design with manager-rated outcomes would address both the direction and common method issues noted above.” This turns a weakness into a research agenda, and in my experience examiners respond well to it.

Defend limitations in your viva or defence

Raise limitations yourself, including any your supervisor has not spotted, because it is far better to raise a weakness than to have a panel find it. Answer in three parts: what it is, what it affects and what you did about it. Keep your tone factual, and never apologise for a design choice you can justify.

Red-Flag Phrases in Dissertation Limitations Examples, and a Self-Audit Checklist

Replace this	With this
“Unfortunately, the study failed to…”	“The study could not test…”
“The results cannot be generalised.”	“Findings may apply to… but not to…”
“The data may be biased.”	“Recall error may have understated…”
“Due to lack of time…”	“The two-month access window excluded…”

Use this checklist on your draft before you compare it with any of the examples above:

1. Does each limitation name a specific design, sample or instrument issue?
2. Does each one say which finding it affects?
3. Have I stated the likely direction of error?
4. Have I stated a mitigation, or said none was possible?
5. Have I avoided “lack of time” and “first-time researcher”?
6. Do my Results chapter verbs match the limits of my design?
7. Are there four to six limitations, not fifteen?

Where to Put Limitations and How Long They Should Be

Limitations usually go in the Discussion chapter, just before the conclusion, and delimitations usually sit in the Introduction or Methods. Universities differ, though, and UK style guides such as Proofed’s guide to study limitations advise checking your own university’s guidelines on where to discuss them. UK programmes publish their own dissertation guides too, such as the University of Manchester’s MSc dissertation guide, which is meant to be read alongside the programme handbook.

Terms also differ by country. In the UK, “dissertation” usually means an undergraduate or taught master’s project, and “thesis” a PhD, and the oral exam is a viva. In the US, “dissertation” usually means the doctoral work, “thesis” a master’s, and the oral exam is a defence. Always check your own handbook.

Frequently Asked Questions

What are examples of limitations in a dissertation?

Common dissertation limitations examples include small sample size, selection bias, low response rate, self-reported data, cross-sectional design, measurement error and limited generalisability. Each one should be paired with its effect on a specific finding and what you did to reduce it.

What are the 5 common limitations of research?

The five I see most are small sample size, selection bias, self-reported data, cross-sectional design and limited generalisability. Measurement error and confounding variables follow closely. In every case, explain the effect on your findings.

Is a small sample size always a limitation?

No. In quantitative work it lowers statistical power and raises the risk of a Type II error. In qualitative work a small sample can be a planned choice if you reached saturation and justify it.

What is an example of a limitation in quantitative research?

“With 40 participants, power to detect a medium effect was about 34%, so a non-significant result may reflect low power, not no effect.” It names the issue, the consequence and how to read the result.

How long should the limitations section be?

In my experience, one to two pages suits a master’s dissertation and two to four a PhD. Some universities set a word limit, so check your handbook. Depth matters more than length.

Where do you put limitations in a dissertation?

Usually in the Discussion chapter, just before the conclusion. Some programmes also want delimitations in the Methods chapter. Follow your university template.

Can limitations be a strength?

Yes, when handled well. A clear limitations section shows critical thinking and honesty, and it shapes your future research. A vague one only shows the weakness.

Can I have too many limitations?

Yes. Fifteen vague limitations make a study look shaky. In my opinion, four to six well-explained ones, each tied to a finding, protect you better.

Is lack of time an acceptable limitation?

On its own, no, because every dissertation has a deadline. Say what the time limit excluded, such as a second data collection round, and how that may affect your findings.

Do I need a limitations section in a master’s dissertation?

Often yes. Many programmes expect at least a short acknowledgement of limitations in the Discussion or Conclusion, even for taught master’s projects. Check your marking criteria to be sure.

If your draft reads like the weak versions above, a second reader helps. Read how to know if you need a dissertation expert to judge your own situation. If you want ongoing guidance, here is how to find a dissertation writing mentor.

References

• American Psychological Association (2020). Publication Manual of the American Psychological Association (7th ed.).
• American Psychological Association. APA Style JARS: Quantitative Research.
• Braun, V. and Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4).
• CASRAI. Delimitations (dictionary entry).
• Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum.
• Guest, G., Bunce, A. and Johnson, L. (2006). How many interviews are enough? Field Methods, 18(1).
• Levitt, H. M. et al. (2018). Journal article reporting standards for qualitative primary, qualitative meta-analytic, and mixed methods research in psychology. American Psychologist, 73(1).
• Lincoln, Y. and Guba, E. (1985). Naturalistic Inquiry. Sage.
• Nunnally, J. (1978). Psychometric Theory (2nd ed.). McGraw-Hill.
• Podsakoff, P. et al. (2003). Common method biases in behavioral research. Journal of Applied Psychology, 88(5).
• Proofed. Study limitations: what they are and how to write them.
• University of Manchester. MSc Occupational Hygiene and Occupational Medicine Dissertation Guide.
• USC Libraries. Organizing Your Social Sciences Research Paper: Limitations of the Study.