How to report a theme supported by few participants is a difficult qualitative nursing dissertation decision because frequency alone does not determine analytical value. A view expressed by two participants may reveal an important safety concern, an overlooked care experience or a meaningful exception to the dominant pattern. However, a rare observation should not be presented as though it represents the whole sample.
This guide explains how to decide whether a low-frequency pattern deserves to be a theme, subtheme, minority case or contextual observation. It also shows how to write the finding transparently, use participant quotations responsibly and connect the interpretation to the nursing research question.
What this guide covers—and what it does not
This article addresses one narrow problem: deciding how to classify and report a low-frequency theme from interviews, focus groups or other primary qualitative data. For the complete coding-to-reporting process, use our thematic analysis in nursing research guide. If the data come from published studies rather than your own participants, use the separate guide to thematic analysis in a nursing systematic review. Keeping these purposes separate prevents methods from being mixed and avoids repeating broad thematic-analysis advice here.
Can a theme be supported by only a few participants?
Yes, but the decision must follow the qualitative methodology used in the study. In reflexive thematic analysis, importance is not established by counting how many people mentioned an idea. Braun and Clarke explain that a theme should capture patterned meaning that matters in relation to the research question. Therefore, a small number of participants can contribute analytically important material when their accounts illuminate a coherent meaning or expose a consequential exception.
This does not mean that every interesting quotation should become a theme. A proposed theme needs a defensible central organising concept, sufficient supporting data and a clear relationship to the study aim. The researcher must also distinguish between a pattern across the dataset and a striking but isolated comment.
Theme, subtheme, minority view or isolated quotation?
| Classification | When it may be appropriate | How to report it |
|---|---|---|
| Theme | The accounts form a coherent pattern of meaning that directly addresses the research question. | Name the central concept, explain its scope and state that it appeared in a limited part of the sample. |
| Subtheme | The pattern develops or qualifies a broader theme but is not analytically strong enough to stand alone. | Place it beneath the parent theme and explain the relationship. |
| Minority or divergent view | The account challenges, complicates or places a boundary around the dominant interpretation. | Present it after the dominant pattern and explain what it changes. |
| Contextual observation | The point is relevant to the setting but does not form a patterned meaning. | Mention it cautiously without labelling it a theme. |
| Isolated quotation | The comment is vivid but lacks sufficient context, coherence or relevance. | Do not promote it into a theme merely because it sounds powerful. |
Start with the research question, not the participant count
Return to the exact question the dissertation seeks to answer. Suppose a nursing study explores patients’ experiences of preparing for discharge. Most participants describe receiving clear information, while two explain that language barriers prevented them from understanding medicine changes. The smaller pattern may still matter because it exposes a condition under which the apparently successful discharge process becomes unsafe or inequitable.
By contrast, a comment about hospital parking may be memorable but analytically peripheral if the research question concerns medicine education. Relevance does not automatically create a theme, but it is the first test.
Ask four analytical questions
- Does the pattern answer or substantially qualify the research question?
- Do the supporting extracts share a coherent underlying meaning?
- Is there enough contextual data to interpret the pattern responsibly?
- Would excluding it conceal an important difference, risk or boundary condition?
If the answer is mainly no, retain the material as a code, memo or contextual note rather than forcing it into the final thematic structure.
Do not use an arbitrary numerical threshold
Statements such as “a theme must appear in at least five interviews” are usually difficult to defend unless the approved method explicitly uses a predefined threshold. Qualitative analysis concerns meaning, context and pattern. Raw frequency may provide useful descriptive information, but it cannot replace interpretation.
Equally, researchers should not claim that frequency is irrelevant and then hide how limited the support actually was. Transparent reporting lets the reader judge the reach of the interpretation. Phrases such as “two participants described…”, “a small minority experienced…” or “one divergent account indicated…” can be appropriate when the numbers are known and confidentiality is protected.
Use cautious language that matches the evidence
The wording should reflect the size and reach of the finding. Avoid universal claims such as “patients felt abandoned” when only a small number described that experience.
Weak reporting
Patients felt abandoned after discharge.
This sentence implies a shared experience across the sample and removes the uncertainty that the data contain.
Stronger reporting
Although most participants described adequate discharge support, a small minority experienced the transition as abrupt and felt uncertain about whom to contact when symptoms changed.
The revised version locates the minority pattern in relation to the dominant account. It preserves its meaning without inflating its prevalence.
Build the finding around analysis, not quotations
A quotation illustrates an interpretation; it does not perform the analysis by itself. Introduce the theme, explain its central meaning, provide a carefully selected extract and then interpret what the extract contributes.
A useful sequence is:
- Analytical claim: state what the limited pattern reveals.
- Scope: indicate that it was expressed by a few participants.
- Evidence: present one or two concise, relevant quotations.
- Interpretation: explain the shared meaning or important difference.
- Boundary: state what the evidence does not establish.
Worked nursing dissertation example
A small minority described medicine explanations as technically complete but difficult to apply at home. Participant 4 stated, “I knew the names, but I did not know which one to stop when I felt dizzy.” Participant 9 similarly distinguished receiving information from knowing how to act on it. These accounts suggest that informational completeness did not always produce practical confidence. Because this pattern appeared in only two interviews, it should be interpreted as a consequential variation rather than the dominant experience of the sample.
This paragraph does more than display quotations. It identifies the pattern, compares the extracts and limits the claim.
Consider whether the pattern belongs under a broader theme
Low-frequency findings often work better as subthemes. For example, a broad theme titled “Uneven readiness for self-management” might include the subthemes “Confidence built through demonstration” and “Information without practical confidence.” The second could be supported by fewer participants while still qualifying the broader finding.
A subtheme should not become a storage place for unrelated quotations. Its data extracts must share a meaningful relationship, and that relationship must advance the parent theme.
Report divergent and negative cases clearly
A divergent case does not automatically disprove a theme. Instead, it can show where the interpretation does not apply, which circumstances alter the experience or why participants respond differently. This strengthens qualitative reasoning because it prevents the analysis from appearing artificially uniform.
For instance, most student nurses may describe simulation as confidence-building, while two report that public correction increased anxiety. The minority account may reveal that simulation experiences depend on how feedback is delivered. The appropriate conclusion is not that simulation either works or fails; it is that the interpersonal conditions surrounding feedback may shape its effect.
When comparing studies in the discussion chapter, use the same discipline. Explain whether existing evidence supports the dominant pattern, the minority pattern or both. The guide on solving nursing dissertation discussion chapter problems provides broader help with interpretation and synthesis.
Protect confidentiality when only a few participants share the view
Rare accounts can be easier to identify, especially in a small ward, specialist team or narrowly defined population. Remove unnecessary details from quotations, use consistent pseudonyms or participant identifiers and follow the approved ethics protocol. Do not combine quotations in a way that falsely makes several accounts appear to come from one person.
It may also be safer to describe the scope as “a small minority” rather than give an exact number when the number, role and setting could reveal identity. Any such choice should remain consistent with the dissertation’s methods and institutional requirements.
Show how the theme was developed
Transparency improves credibility. Briefly explain how codes were compared, how candidate themes were reviewed and why the low-frequency pattern was retained. The Standards for Reporting Qualitative Research encourage clear reporting of the data-analysis process and the links between empirical material, interpretation and conclusions. COREQ provides additional reporting prompts for interview and focus-group studies.
An audit trail might record:
- the initial codes linked to the candidate theme;
- which transcripts contained supporting material;
- similarities and differences across extracts;
- changes to the proposed theme name or scope;
- the reason for retaining, merging or removing the pattern; and
- reflexive notes about the researcher’s assumptions.
For help separating the presentation of evidence from interpretation, see the nursing dissertation Chapter 4 findings guide.
Avoid five common mistakes
1. Calling every code a theme
A code identifies a potentially meaningful feature. A theme develops a broader, coherent pattern of meaning. Several related codes may contribute to one theme.
2. Treating one dramatic quotation as sufficient proof
Emotional force does not establish analytical importance. Examine the quotation in context and compare it with the rest of the dataset.
3. Hiding the limited support
Do not write as though the finding was universal. State its restricted reach accurately.
4. Dismissing minority experiences as insignificant
A rare account may expose an accessibility, equality or safety concern that a majority-based summary would erase. Consider consequence as well as prevalence.
5. Turning qualitative frequency into a statistical result
Counts can describe the dataset, but they do not create statistical generalisability. Avoid percentages when they give a misleading impression of precision in a very small sample.
Checklist for reporting a low-frequency theme
- The theme directly relates to the research question.
- The central organising concept is clear.
- Supporting extracts demonstrate a coherent meaning.
- The text accurately identifies its limited scope.
- The claim does not imply that the whole sample shared the experience.
- Quotations illustrate rather than replace analysis.
- Divergent evidence is acknowledged.
- Confidentiality risks created by rarity have been considered.
- The methods section explains how themes were reviewed.
- The discussion considers significance without exaggeration.
Frequently asked questions
How many participants are needed to create a qualitative theme?
There is no universal minimum. The answer depends on the methodology, research question, dataset and coherence of the pattern. Explain and justify the decision instead of relying on an invented threshold.
Can one participant support a theme?
An individual account can be analytically important, particularly as a divergent or negative case. However, calling it a full theme requires strong methodological justification. It may be more accurate to report it as an individual variation or contextual observation.
Should I state how many participants mentioned each theme?
Follow the selected qualitative approach and university guidance. Counts can clarify scope, but they should not replace interpretation or imply statistical generalisability.
Can a minority theme be discussed in the conclusion?
Yes, when it materially affects the answer to the research question. Describe it proportionately and avoid presenting it as the dominant finding.
What if my supervisor says the theme is too small?
Show the supporting extracts, central organising concept, relevance to the research question and reason it changes the interpretation. If it lacks coherence, reclassify it as a subtheme, divergent view or contextual observation.
Need help reviewing qualitative nursing themes?
If your themes are too broad, unevenly supported or difficult to defend, our nursing dissertation data analysis service can help you review the relationship between codes, extracts, themes and the research question while preserving academic integrity.
Conclusion
Reporting a theme supported by few participants requires balance. Do not discard a meaningful account simply because it is uncommon, but do not inflate it into a sample-wide conclusion. Classify the pattern accurately, disclose its scope, demonstrate its coherence and explain why it matters to the nursing research question. Transparent, proportionate reporting turns a potentially weak section into defensible qualitative analysis.
References
- Braun, V. and Clarke, V. (2006) ‘Using thematic analysis in psychology’, Qualitative Research in Psychology, 3(2), pp. 77–101. Available at: https://doi.org/10.1191/1478088706qp063oa
- Braun, V. and Clarke, V. (2022) ‘Conceptual and design thinking for thematic analysis’, Qualitative Psychology, 9(1), pp. 3–26. Available at: https://doi.org/10.1037/qup0000196
- O’Brien, B.C. et al. (2014) ‘Standards for reporting qualitative research: a synthesis of recommendations’, Academic Medicine, 89(9), pp. 1245–1251. Available at: https://doi.org/10.1097/ACM.0000000000000388
- Tong, A., Sainsbury, P. and Craig, J. (2007) ‘Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups’, International Journal for Quality in Health Care, 19(6), pp. 349–357. Available at: https://doi.org/10.1093/intqhc/mzm042
