You have spent weeks reviewing interview transcripts, assigning codes, and organizing your findings into preliminary themes. Your analysis is beginning to take shape, but a new problem emerges: two themes seem to describe the same participant experiences. Some quotations could support either theme, and the distinctions that initially seemed clear are becoming harder to explain. Should you merge the themes, keep them separate, or revise how they are defined?
This situation is common in dissertation qualitative research, particularly when participants describe experiences that are closely connected. For example, doctoral students discussing supervisory relationships may describe emotional encouragement, timely feedback, and confidence in their academic abilities within the same interview response. These experiences may contribute to several analytical patterns, making it difficult to establish where one theme ends and another begins. Braun and Clarke (2022) explain that developing themes involves ongoing interpretation and refinement rather than simply sorting coded material into fixed categories.
The challenge is not necessarily that your themes overlap. Instead, the important question is whether each theme communicates a meaningful analytical idea that contributes to answering your research questions. Researchers seeking dissertation help often assume that themes must be entirely separate or that a predetermined number of themes is required. However, decisions about merging, separating, or refining themes should follow from the data, methodological approach, and purpose of the analysis. This guide explains why overlap occurs, how to evaluate competing theme structures, and how to present a defensible set of findings in your dissertation.
I. Understand Why Qualitative Themes Overlap During Analysis
Overlapping themes are not automatically evidence of poor analysis. Participants’ experiences frequently involve related processes, emotions, and organizational conditions that cannot be separated into completely independent categories. The researcher must develop a coherent interpretation that explains these relationships without unnecessary repetition.
What Makes a Qualitative Theme Distinct?
Understanding the Difference Between Codes, Categories, and Themes
Codes, categories, and themes serve different analytical purposes, although their definitions and relationships vary across qualitative methodologies. A code identifies something relevant in a segment of data, while a category may organize related codes. A theme, particularly in reflexive thematic analysis, communicates a broader pattern of shared meaning developed through interpretation.
For example, interview responses about doctoral supervision might receive codes such as “quick email responses,” “constructive criticism,” and “encouragement after setbacks.” These codes could initially be grouped into categories involving communication, feedback, and emotional support. The researcher then considers what broader analytical ideas connect these observations and how those ideas relate to the research questions.
According to Braun and Clarke (2022), themes should be understood as patterns organized around a central concept rather than collections of responses addressing the same interview question. This distinction matters because a theme titled “Supervisor Communication” may describe a general topic without explaining what participants’ communication experiences mean. A stronger theme might be “Responsive Communication Builds Research Confidence,” provided that interpretation is supported by the evidence.
Identifying the Central Meaning of a Theme
A useful way to evaluate a theme is to identify its central organizing concept. This is the main analytical idea that brings its supporting evidence together. If the researcher cannot explain that idea clearly, the proposed theme may still be a broad topic, a descriptive category, or an unfinished interpretation.
Consider two preliminary themes: “Receiving Supervisor Feedback” and “Feeling Supported by Supervisors.” The first might focus on how feedback helps students revise their work, while the second might address how supervisory relationships influence confidence and persistence. Although both concern supervision, they could represent different patterns of meaning.
Alternatively, if both themes primarily describe how helpful feedback reassures students, their analytical purposes may be nearly identical. The researcher would then need to consider whether maintaining two themes adds meaningful insight. Byrne (2022) demonstrates how theme development involves repeatedly reviewing candidate themes and considering whether their organizing ideas adequately represent the dataset.
Why Themes Sometimes Share Similar Evidence
Recognizing Related Participant Experiences
Qualitative interviews often capture experiences that involve several related meanings at once. A participant might explain that a supervisor’s detailed feedback improved their writing, reduced uncertainty, and encouraged them to continue their dissertation. The same quotation may therefore contain evidence relevant to learning, confidence, and persistence.
This does not mean that the quotation must belong exclusively to one theme. Depending on the methodological approach, researchers may use different portions of an extract or examine the same account from different analytical perspectives. The important consideration is whether the interpretation adds something distinct each time.
For researchers conducting qualitative analysis, overlap should prompt closer examination rather than immediate restructuring. It may reveal meaningful connections among themes, indicate that their definitions need revision, or suggest that the current organization does not yet communicate the findings effectively.
Distinguishing Genuine Overlap From Unclear Theme Definitions
Some overlap reflects the nature of the phenomenon being investigated. For example, trust and communication may be closely connected in participants’ accounts of organizational leadership. Keeping them separate could be appropriate if each theme explains a different aspect of how participants experience leadership. Other overlap results from vague theme definitions. Labels such as “Challenges,” “Support,” and “Experiences” may be too broad to establish meaningful distinctions. As a result, the same evidence can appear relevant to several themes because their analytical boundaries have not been sufficiently developed. Braun and Clarke (2021) emphasize that quality in reflexive thematic analysis depends on methodological coherence and thoughtful interpretation rather than adherence to rigid procedural rules. Researchers should therefore evaluate whether the overlap contributes to understanding or merely repeats the same point under different headings.
When Overlapping Themes Become an Analytical Concern
Identifying Repetition Across Theme Descriptions
Overlap becomes concerning when two themes repeatedly make the same analytical claim. If their definitions, supporting quotations, and interpretations are largely interchangeable, the theme structure may create unnecessary repetition. Readers may struggle to understand why the findings were divided into separate sections. Suppose a dissertation presents “Faculty Encouragement Promotes Persistence” and “Emotional Support Sustains Motivation.”
If both themes rely on nearly identical accounts of supervisors reassuring students during difficult periods, they may be expressing the same central meaning. Maintaining both without a clear distinction could weaken the presentation. One practical test is to summarize each theme in two sentences without using its title. If the summaries are essentially identical, the researcher should investigate whether the themes need to be merged or redefined. This exercise does not determine the answer automatically, but it can reveal where additional analytical work is needed.
Recognizing Themes That Lack a Clear Analytical Purpose
A candidate theme may need revision when it contains interesting quotations but does not contribute a clear answer to the research questions. A collection of related comments is not necessarily a fully developed theme. The researcher must explain what those comments reveal about the phenomenon being studied. For example, a theme called “Technology” might include participants’ comments about email, video meetings, and learning management systems.
Unless the analysis explains what technology means within the participants’ experiences, the theme may remain descriptive. A more focused interpretation could concern how digital communication affects access to supervisory guidance. Saldaña (2021) emphasizes the importance of moving beyond initial coding toward meaningful interpretation and organization. Professional dissertation consulting can help researchers evaluate whether their proposed themes contribute distinct insights or simply summarize interview topics.
II. Decide Whether to Merge, Separate, or Refine Overlapping Themes
When themes overlap, three broad options are available: merge them, retain them as separate themes, or refine their definitions and organization. The appropriate choice depends on the meaning of the evidence and the analytical contribution of each theme. There is no universal rule requiring researchers to eliminate all overlap or retain a particular number of themes.
Merge Themes When They Express the Same Central Meaning
Comparing Theme Definitions and Supporting Evidence
Merging may be appropriate when two candidate themes communicate substantially the same central idea. To evaluate this possibility, compare their definitions, supporting extracts, and interpretations. Ask whether each theme contributes a different explanation or whether the same point is being repeated. Consider a dissertation exploring doctoral students’ experiences of academic supervision. Two preliminary themes are “Supervisor Encouragement Reduces Anxiety” and “Emotional Reassurance Strengthens Confidence.”
Participants may describe supervisors offering reassurance after rejected proposals, encouraging revisions, and helping them regain confidence. If both themes explain how emotional reassurance helps students manage academic uncertainty, merging them may produce a stronger interpretation. A combined theme such as “Supervisory Reassurance Supports Academic Confidence” could communicate the central meaning more clearly. The decision should be supported by reviewing the full dataset rather than relying only on a few memorable quotations.
Combining Themes Without Losing Important Findings
Merging themes should not mean removing evidence simply to shorten the results chapter. Instead, the researcher should examine how the supporting material can contribute to a more developed theme narrative. Distinct aspects of the combined theme may be presented through carefully organized paragraphs or subthemes. For example, a merged theme about supervisory reassurance might include two related dimensions: encouragement during setbacks and constructive feedback that reduces uncertainty.
These dimensions could remain visible within the broader interpretation without being presented as separate major themes. This approach can reduce repetition while preserving important differences in participants’ experiences. Braun and Clarke (2022) describe theme development as an iterative process in which candidate themes are reviewed and revised in relation to the dataset and overall analytical account. For doctoral researchers seeking dissertation assistance, this means that merging should strengthen the explanation rather than merely reduce the number of headings.
Separate Themes When They Explain Different Aspects of the Data
Identifying Meaningful Differences Between Related Themes
Two themes may share evidence while communicating different analytical ideas. In that situation, keeping them separate may be appropriate. The researcher should be able to explain what each theme reveals and why the distinction matters to the research questions. For example, “Timely Feedback Enables Academic Progress” might focus on how prompt responses allow students to revise drafts and meet milestones. “Emotional Encouragement Sustains Persistence” might focus on how reassurance helps students continue despite setbacks. Both involve supervisor support, but they describe different mechanisms and consequences. The researcher can strengthen this distinction by developing concise definitions and selecting extracts that illustrate each central idea. When a quotation addresses both processes, the analysis should explain which aspect is relevant to the particular theme. A dissertation consultant can help researchers articulate these distinctions when preparing their findings for committee review.
Using Research Questions and Participant Context to Establish Boundaries
Research questions provide an important reference point when evaluating theme boundaries. A theme should contribute to understanding the phenomenon the study was designed to investigate. If two related themes address different dimensions of the research question, separating them may produce a more informative analysis. Participant context can clarify differences. For example, early-stage doctoral students may describe supervisory feedback as a source of direction, while advanced students may emphasize the importance of autonomy.
These differences might support distinct themes or a broader theme containing contrasting experiences, depending on the analytical purpose. Ravitch and Carl (2021) emphasize alignment among the research questions, conceptual framework, and methodological decisions. Researchers should therefore examine whether separating themes clarifies the findings or introduces artificial divisions into participants’ experiences.
Refine Themes When the Relationship Is Unclear
Revising Theme Names, Definitions, and Scope
Sometimes themes do not need to be merged or separated; they need clearer definitions. Refinement may involve changing a theme title, narrowing its scope, reconsidering which extracts support it, or identifying a more precise central meaning. This is particularly useful when the theme structure is promising but the analytical boundaries remain unclear. Suppose a researcher has developed “Communication Challenges” and “Supervisor Availability.” The themes overlap because participants often discuss delayed responses when describing limited supervisor access.
Refinement might reveal that one theme concerns uncertainty caused by inconsistent communication, while the other concerns institutional barriers to obtaining guidance. The revised titles could become “Inconsistent Communication Creates Uncertainty” and “Institutional Barriers Limit Access to Guidance.” These titles communicate more specific analytical claims. However, the researcher should retain them separately only if the dataset supports the distinction.
Using Subthemes to Organize Related Findings
Subthemes can help organize related patterns within a broader theme when doing so improves the analytical account. For example, a theme titled “Supervisory Relationships Shape Dissertation Progress” might contain subthemes addressing feedback practices and emotional reassurance. This structure can communicate a shared overarching meaning while preserving relevant differences. However, subthemes should not become a default solution for every instance of overlap. Too many levels of headings can fragment the findings and make the central interpretation difficult to follow.
Researchers should consider whether the proposed subthemes contribute meaningful analytical distinctions or merely repeat descriptive categories. Byrne (2022) illustrates how reviewing and refining themes can improve the coherence of the final analysis. The objective is to develop a structure that communicates the findings clearly, not to force every coded extract into a predetermined hierarchy.
III. Strengthen, Document, and Defend Your Final Theme Structure
After deciding how to organize overlapping themes, researchers should return to the evidence and evaluate whether the revised structure adequately represents the dataset. This stage involves documenting analytical decisions and preparing clear explanations for dissertation readers. A defensible theme structure depends on the quality of the interpretation, not simply the appearance of a polished results chapter.
Revisit the Data Before Finalizing Themes
Comparing Supporting Extracts Across Themes
A useful strategy is to review the extracts associated with each candidate theme side by side. This allows the researcher to examine whether the extracts support distinct meanings or repeatedly illustrate the same idea. Reading extracts in their original interview context is particularly important because isolated quotations may lose relevant details. For example, a participant’s statement that “my supervisor helped me believe I could finish” may appear relevant to confidence, persistence, and supervisory support.
The surrounding discussion may reveal whether the participant was describing emotional reassurance, practical guidance, or both. Returning to the full account helps the researcher interpret the statement more carefully. Braun and Clarke (2022) emphasize the importance of reviewing candidate themes in relation to both the coded material and the broader dataset. Researchers conducting qualitative analysis should therefore avoid finalizing themes solely from a summary table or coding report.
Examining Contradictory Evidence and Underrepresented Experiences
Researchers should examine evidence that does not fit the emerging theme structure. Participants may describe experiences that challenge an apparent pattern or reveal important differences within the sample. These accounts can help refine theme boundaries and prevent the final analysis from presenting an overly uniform interpretation. For example, most doctoral students may describe frequent supervisor feedback as supportive, while a few report that excessive feedback reduced their independence.
Rather than ignoring these accounts, the researcher should consider how they affect the interpretation of supervisory support. They may indicate an important condition under which feedback is experienced differently. A theme does not necessarily need to represent every participant or appear with equal frequency across the dataset. Its significance depends on its contribution to the research question and the analytical approach. Braun and Clarke (2021) caution against applying universal quality criteria without considering the methodological assumptions guiding the analysis.
Develop a Transparent Theme Refinement Process
Creating a Theme Definition and Evidence Matrix
A theme definition and evidence matrix can help researchers organize their analytical decisions. The matrix may include the candidate theme name, central meaning, supporting extracts, potential overlap with other themes, and the proposed action. This provides a practical way to compare themes without reducing the analysis to a numerical exercise.
For example, a researcher might document that “Emotional Encouragement” and “Confidence Through Reassurance” share the same central concept and many supporting extracts. The proposed action could be to merge them into a broader theme. Another entry might explain why “Timely Feedback” remains separate because it addresses practical progress rather than emotional reassurance. Such a matrix can help researchers prepare their dissertation results chapter. It provides a record of how the theme structure changed and why particular decisions were made. However, the matrix supports analytical reflection; it does not replace the researcher’s interpretive judgment.
Documenting Analytical Decisions and Researcher Reflexivity
Documenting theme refinement decisions can strengthen transparency. Researchers may maintain analytical memos describing why themes were merged, separated, renamed, or reorganized. These records can help explain how the final interpretation developed from the earlier stages of analysis.
Reflexivity is important because researchers bring assumptions, experiences, and theoretical perspectives to the interpretation of qualitative evidence. A researcher who previously worked as an academic supervisor, for example, may initially interpret feedback practices differently from participants who experienced them. Recognizing this possibility can encourage closer examination of the data.
Ravitch and Carl (2021) emphasize the importance of researcher reflexivity and methodological transparency in qualitative inquiry. For dissertation researchers seeking dissertation consulting, maintaining clear analytical records can make it easier to discuss methodological decisions with supervisors and committee members.
Present and Defend Themes in Your Dissertation
Writing Clear Theme Narratives in Chapter 4
A strong theme narrative does more than introduce a heading followed by several quotations. It explains the central meaning of the theme, presents relevant evidence, and interprets how that evidence contributes to answering the research questions. The researcher should establish the analytical claim before using quotations to illustrate and develop it.
For example, a theme titled “Responsive Feedback Builds Research Confidence” might begin by explaining that participants associated timely, constructive feedback with reduced uncertainty and greater confidence in their academic decisions. Selected extracts could then demonstrate how participants experienced this process. The narrative should connect those extracts to the broader interpretation rather than simply restating their content.
Saldaña (2021) discusses the progression from coding toward organized analytical interpretation. In a dissertation, this means ensuring that each theme communicates a coherent finding and that the relationship among themes is understandable. Professional academic editing can help improve the clarity of the written narrative after the analytical decisions have been established.
Addressing Common Dissertation Committee Questions
Dissertation committees may ask why two similar themes were retained, why several preliminary themes were combined, or how the researcher determined that the final structure adequately represented the data. These questions should be answered through clear explanations of the analytical process rather than appeals to a fixed number of themes.
If themes were merged, the researcher can explain that their central meanings and supporting evidence substantially overlapped. If they were retained separately, the researcher should identify the distinct analytical contribution of each. If they were refined, the explanation should describe how revised definitions or subthemes improved the coherence of the findings.
Researchers should avoid claiming that the final themes are the only possible interpretation of the dataset. Qualitative analysis involves reasoned interpretation, and another researcher may develop a different but defensible account. A dissertation editor or specialist providing dissertation editing services can help ensure that the final explanation is clearly organized, while methodological decisions should remain grounded in the selected analytical approach.
Conclusion
Overlapping themes are a common part of qualitative dissertation analysis and do not automatically indicate that the researcher has made an error. The important task is to determine whether the overlap reflects shared meaning, distinct but related analytical ideas, or unclear theme definitions. Merging, separating, and refining themes are all legitimate options when supported by the evidence and the research purpose.
A defensible approach involves identifying each theme’s central meaning, comparing supporting extracts, revisiting the full dataset, and examining evidence that challenges the emerging interpretation. Researchers should document how their themes developed and explain why the final structure provides a coherent answer to the research questions. These practices help strengthen the clarity and credibility of the findings.
If you are uncertain whether your themes should be merged, separated, or refined, professional dissertation help can provide support during the analysis and writing stages. At Precision Consulting, our dissertation services include qualitative research guidance, qualitative analysis, and dissertation consulting for doctoral candidates developing their findings. Whether you need a dissertation coach, a dissertation consultant, or specialized dissertation assistance, our team can help you evaluate your theme structure and communicate your interpretations with confidence. Contact Precision Consulting to discuss your research needs and take the next step toward completing your dissertation.
References
Braun, V., & Clarke, V. (2021). One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology, 18(3), 328–352. https://doi.org/10.1080/14780887.2020.1769238
Braun, V., & Clarke, V. (2022). Thematic analysis: A practical guide. SAGE Publications.
Byrne, D. (2022). A worked example of Braun and Clarke’s approach to reflexive thematic analysis. Quality & Quantity, 56, 1391–1412. https://doi.org/10.1007/s11135-021-01182-y
Ravitch, S. M., & Carl, N. M. (2021). Qualitative research: Bridging the conceptual, theoretical, and methodological (2nd ed.). SAGE Publications.
Saldaña, J. (2021). The coding manual for qualitative researchers (4th ed.). SAGE Publications.