Qualitative Data Analysis
There are key features in analyzing qualitative data, regardless of the analytic approach that you choose. At this phase, you are exploring how your research questions and aims are connected to your data. It is an iterative cycle that requires multiple readings or reviews of your data, codes, and categories or themes. Specific analytic steps and approaches can differ depending on your methodological design.
Thematic Analysis
What is it? Thematic analysis is the process of describing patterns and connections of codes in a qualitative research project using a word or a phrase. Unlike other types of qualitative data analyses, the outcome of the thematic analysis is usually the last step before presenting the results of a qualitative project. It reduces qualitative data to connect the research questions, aims, or goals to the data collected.
In some instances, an a priori method of qualitative analysis is used, where a set of anticipated themes are developed. Therefore, models from an existing theory may be used to guide the analysis. The coded data are categorized or segmented into a priori, or pre-conceived, themes. The content of the themes undergo several iterations of case comparisons until the analysis is finalized. There may be situations when the themes are divided, merged, rearranged, or renamed to reflect the codes in each category. Emergent codes and themes that are not pre-conceived may also be a part of thematic analysis.
Thematic analysis requires that the researcher have previous experience with qualitative coding. This is due to the fact that detailed understanding of a model or concept must be honed with the flexibility to rigorously consider connections among codes, themes, and the research question. A researcher must also move in and out of exploring the relationship among the themes and contextual connections. The outcome of a thematic analysis are themes, concepts, and their descriptions. Our consultants can guide you through the process of thematic analysis, review your work, and soundboard ideas.
How can we help you?
- Tips on choose the most appropriate a priori themes connected to the research question
- Coaching on how to apply thematic analysis to your qualitative data
- Feedback on best practices for presenting thematic analysis
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Publications: Articles, Books, Op-ed
For academic journals, qualitative data insights may need more information than if you are writing a newspaper or practice-based journal article.
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Cultural context is the broad range of beliefs and practices that guide the behavior of research participants and researchers.
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In qualitative research, a survey is a set of open-ended questions used to explore diverse views primarily among a large number of people.
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Cultural context is the broad range of beliefs and practices that guide the behavior of research participants and researchers.
Learn MoreArticles and White Papers About Thematic Analysis
From Interviews to Infographics: Reporting Qual Data for Community Use
Introduction Qualitative research plays a critical role in community-engaged studies by capturing lived experiences, narratives, and social complexities that quantitative data often cannot. However, a persistent challenge lies in translating these nuanced insights into accessible, actionable formats for non-academic stakeholders—especially community members who are usually the subjects and beneficiaries of...
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How to Write Qualitative Research Reports for Funders and Stakeholders
Introduction Qualitative research is a powerful tool for understanding complex social, behavioral, and organizational phenomena. Its strength lies in capturing rich, contextual, and nuanced data that reflect the lived experiences of individuals and communities. To translate insights into tangible impact, findings must be communicated effectively to decision-makers (funders, policymakers, practitioners,...
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Turning Words into Action: How to Spot Actionable Insights in Interviews
Introduction In the business world, qualitative interviews offer a powerful window into users’ needs, frustrations, and motivations—insights which are often invisible in quantitative data. Yet those rich stories can remain dormant if not translated into action. In applied settings like product teams, marketing departments, and customer experience efforts, turning words...
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Publishing Qualitative Research from Community Projects: What Funders and Journals Want
Introduction Qualitative research rooted in community projects often holds the potential to generate deep, contextually rich insights that inform social programs, policy, and participatory action. However, the journey from community engagement to published work requires alignment with the expectations of both funders and peer-reviewed journals. Understanding these expectations is critical...
Read MoreFAQ About Thematic Analysis
Anyone interested in arts-based or arts-informed research does not need to be an artist. However, familiarity with the types of arts that is important. Knowledge and history of using the artistic modality, e.g. painting, photography, performances, aid in defining how the data should be analyzed and collected.
No. The size of the font and the criterion for the poster presentation are more important.
Many conferences suggest clear, simple, and multicolored visualizations. Visualizations must include a key and description. The types of visualizations varies. It would be helpful to ask conference organizers about acceptable types of visualizations.
Some conferences focus on research, others are practice-based, and some are a combination. Depending on the conference, the length of the presentation could inform the type of format and what would be most appropriate from to present on qualitative project.
The amount of data needed for discourse analysis depends on your research question(s). Projects consist of texts from a wide variety of sources.
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