{ "id": "ep8je5cvgx", "slug": "qualitative-content-analysis", "title": "Qualitative content analysis", "updated": "2026-10-25", "topic_path": [ { "id": "physical", "label": "Physical world and mathematics", "api_url": "https://www.edgepedia.org/api/v1/topics/physical" }, { "id": "physical.science", "label": "General science and scientific practice", "api_url": "https://www.edgepedia.org/api/v1/topics/physical.science" }, { "id": "physical.science.research_methods_design", "label": "Research methods and experimental design", "api_url": "https://www.edgepedia.org/api/v1/topics/physical.science.research_methods_design" }, { "id": "physical.science.research_methods_design.qualitative-analysis-and-coding", "label": "Qualitative analysis and coding", "api_url": "https://www.edgepedia.org/api/v1/topics/physical.science.research_methods_design.qualitative-analysis-and-coding" } ], "geo": [ { "id": "geo.nongeo.t1800.physical", "label": "Non-geographic · 1800 to 1945: Physical world and mathematics", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1800.physical", "path": [ { "id": "geo.nongeo", "label": "Non-geographic", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo" }, { "id": "geo.nongeo.t1800", "label": "Non-geographic · 1800 to 1945", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1800" }, { "id": "geo.nongeo.t1800.physical", "label": "Physical world and mathematics", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1800.physical" } ] }, { "id": "geo.nongeo.t1946.physical.science.research_methods_design", "label": "Non-geographic · 1946 to 2000: Research methods and experimental design", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.physical.science.research_methods_design", "path": [ { "id": "geo.nongeo", "label": "Non-geographic", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo" }, { "id": "geo.nongeo.t1946", "label": "Non-geographic · 1946 to 2000", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946" }, { "id": "geo.nongeo.t1946.physical", "label": "Physical world and mathematics", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.physical" }, { "id": "geo.nongeo.t1946.physical.science", "label": "General science and scientific practice", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.physical.science" }, { "id": "geo.nongeo.t1946.physical.science.research_methods_design", "label": "Research methods and experimental design", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t1946.physical.science.research_methods_design" } ] } ], "excerpt": "Qualitative content analysis is a social science method for interpreting text data through systematic coding and identifying themes, heavily used in healthcare and public health research.", "snippet": "Qualitative content analysis is a social science method for interpreting text data through systematic coding and identifying themes, heavily used in healthcare and public health research.", "node": "physical.science.research_methods_design.qualitative-analysis-and-coding", "markdown": "# Qualitative content analysis\n\nQualitative content analysis is a social science research method for the subjective interpretation of text data through the systematic classification process of coding and identifying themes or patterns.[1](https://study.sagepub.com/sites/default/files/Hsieh%20and%20Shannon%20-%20Three%20Approaches%20to%20Qualitative%20Content%20Analysis.pdf) It is applied to textual, visual, or audio material, and is heavily used in healthcare and public health research, where [directed content analysis](https://www.edgepedia.org/directed-content-analysis) in particular is a common data-analysis method.[2](https://www.jpmph.org/journal/view.php?doi=10.3961%2Fjpmph.22.471) • [3](https://pmc.ncbi.nlm.nih.gov/articles/PMC7932246/) It produces codes, categories, and themes rather than a plain summary.[4](https://cms.spirhr.org/event/12/contributions/38/attachments/45/91/content%20analysis.pdf)\n\n| Key fact | Detail |\n|---|---|\n| Output | Codes, categories (manifest content), and themes (latent content) derived by systematic classification[1](https://study.sagepub.com/sites/default/files/Hsieh%20and%20Shannon%20-%20Three%20Approaches%20to%20Qualitative%20Content%20Analysis.pdf) • [4](https://cms.spirhr.org/event/12/contributions/38/attachments/45/91/content%20analysis.pdf) |\n| Analytic logic | Inductive, deductive, or abductive; Mayring frames it as a mixed-methods approach[5](https://qualitative-content-analysis.org/wp-content/uploads/Mayring2014QualitativeContentAnalysis.pdf) • [6](https://www.sciencedirect.com/science/article/abs/pii/S0260691717301429) |\n| Named variants | Conventional, directed, and summative (Hsieh & Shannon); ethnographic (Altheide); flexible (Rustemeyer)[1](https://study.sagepub.com/sites/default/files/Hsieh%20and%20Shannon%20-%20Three%20Approaches%20to%20Qualitative%20Content%20Analysis.pdf) • [7](https://www.qualitative-research.net/index.php/fqs/article/download/3392/4502/14188) |\n| Typical sample size | Saturation in 9–17 in-depth interviews excluding outliers (mean 12–13); 4–8 focus groups[8](https://www.sciencedirect.com/science/article/pii/S0277953621008558) |\n| Reliability | Cohen's kappa or Krippendorff's alpha; thresholds disputed (>.7 vs >.8–.9)[9](https://journals.sagepub.com/doi/full/10.1177/1609406919899220) • [10](https://www.miguelangelmartinez.net/IMG/pdf/2000_mayring_content_analysis.pdf) |\n| Software | NVivo, ATLAS.ti, MAXQDA, now with AI-assisted coding features[11](https://qca-method.net/documents/kuckartz-raediker-2024-integrating-ai-in-qualitative-content-analysis.pdf) |\n\n## How it works\n\nThe method rests on a distinction between manifest and latent content: manifest content is what the text says, its visible and obvious components, while latent content is what the text talks about, its underlying meaning.[4](https://cms.spirhr.org/event/12/contributions/38/attachments/45/91/content%20analysis.pdf) Analysis proceeds by breaking material into meaning units, condensing them while preserving their core, and abstracting them into codes, then categories, then themes. A category answers the question \"What?\" and expresses manifest content; a theme expresses latent content.[4](https://cms.spirhr.org/event/12/contributions/38/attachments/45/91/content%20analysis.pdf)\n\nCoding can be inductive, with categories derived from the data, or deductive, with a category system operationalized from previous knowledge and applied to the material.[12](https://onlinelibrary.wiley.com/doi/10.1111/j.1365-2648.2007.04569.x) Inductive analysis suits phenomena with no previous studies or fragmented knowledge; deductive analysis suits testing a theory in a new situation or comparing categories across time periods.[12](https://onlinelibrary.wiley.com/doi/10.1111/j.1365-2648.2007.04569.x) The method can also be applied abductively.[6](https://www.sciencedirect.com/science/article/abs/pii/S0260691717301429) Mayring conceptualizes it as a mixed-methods approach: assigning categories to text is the qualitative step, and working through many passages and analyzing category frequencies is the quantitative step.[5](https://qualitative-content-analysis.org/wp-content/uploads/Mayring2014QualitativeContentAnalysis.pdf)\n\n## How it is done\n\nSeveral step models compete. Hsieh and Shannon describe seven classic steps for all three of their approaches: formulating research questions, selecting the sample, defining categories, outlining the coding process and coder training, implementing coding, determining trustworthiness, and analyzing results.[1](https://study.sagepub.com/sites/default/files/Hsieh%20and%20Shannon%20-%20Three%20Approaches%20to%20Qualitative%20Content%20Analysis.pdf) Elo and Kyngäs organize both inductive and deductive analysis into three phases: preparation, organizing, and reporting.[12](https://onlinelibrary.wiley.com/doi/10.1111/j.1365-2648.2007.04569.x) Krippendorff's six-step process comprises unitizing, sampling, recording/coding, reducing, abductively inferring, and narrating.[2](https://www.jpmph.org/journal/view.php?doi=10.3961%2Fjpmph.22.471)\n\nWithin these models, practitioners make several fixed decisions. Content-analytical units are defined in advance: the coding unit is the smallest part of the material that can be coded, the context unit is the largest context taken into account for a categorization, and the recording unit specifies which portions of the material are sequentially confronted with the category system.[5](https://qualitative-content-analysis.org/wp-content/uploads/Mayring2014QualitativeContentAnalysis.pdf) Category systems must be pilot tested; if category definitions, level of abstraction, or coding rules change after the pilot, the material must be recoded from the beginning.[5](https://qualitative-content-analysis.org/wp-content/uploads/Mayring2014QualitativeContentAnalysis.pdf) Sampling strategies include random, cluster, stratified, and theoretical sampling; convenient or ad-hoc samples should be avoided.[5](https://qualitative-content-analysis.org/wp-content/uploads/Mayring2014QualitativeContentAnalysis.pdf)\n\nEmpirical tests of saturation give the best available guidance on sample size. Across 16 empirical tests with in-depth interview data, saturation was reached between 5 and 24 interviews; excluding outliers, between 9 and 17 interviews with a mean of 12–13. In six tests using focus group data, saturation was reached by 4–8 groups.[8](https://www.sciencedirect.com/science/article/pii/S0277953621008558) In one study of 25 in-depth interviews, code saturation was reached at nine interviews, but 16–24 interviews were needed for meaning saturation.[13](https://pmc.ncbi.nlm.nih.gov/articles/PMC9359070/) For qualitative content analysis specifically, sample size can be determined by information power, the principle that the more relevant information a sample holds, the fewer participants are needed.[14](https://journals.sagepub.com/doi/10.1177/16094069241296206)\n\nTwo quality traditions coexist. International authors, following Lincoln and Guba, emphasize credibility, dependability, confirmability, and transferability; the German tradition uses quantitative reliability criteria such as [Cohen's kappa](https://www.edgepedia.org/cohens-kappa).[15](https://www.qualitative-research.net/index.php/fqs/article/view/3370) For intercoder reliability, a minimum of two independent coders is needed, and typically 10–25% of data units are double-coded.[9](https://journals.sagepub.com/doi/full/10.1177/1609406919899220) Common statistics are Cohen's kappa, Krippendorff's alpha, Scott's pi, and Fleiss' K, with Krippendorff's alpha increasingly preferred for its flexibility with more than two coders and multiple data types.[9](https://journals.sagepub.com/doi/full/10.1177/1609406919899220) Thresholds are disputed: figures over .9 are acceptable by all and over .8 by many, while Mayring reduces the standard, holding that Cohen's kappa over .7 would be sufficient.[9](https://journals.sagepub.com/doi/full/10.1177/1609406919899220) • [10](https://www.miguelangelmartinez.net/IMG/pdf/2000_mayring_content_analysis.pdf)\n\n## Origin\n\nSiegfried Kracauer coined the term \"qualitative content analysis\" at the beginning of the 1950s; his 1952 article \"The Challenge of Qualitative Content Analysis,\" published in Public Opinion Quarterly, is considered the starting point of the method's history.[16](https://doi.org/10.1086/266427) The quantitative basis of content analysis was laid in the United States.[10](https://www.miguelangelmartinez.net/IMG/pdf/2000_mayring_content_analysis.pdf)\n\nHis version of qualitative content analysis arose in a longitudinal study on the psychosocial consequences of unemployment, analyzing about 600 open-ended interviews yielding more than 20,000 pages of transcripts.[10](https://www.miguelangelmartinez.net/IMG/pdf/2000_mayring_content_analysis.pdf) The manifest/latent approach is used in nursing research,[4](https://cms.spirhr.org/event/12/contributions/38/attachments/45/91/content%20analysis.pdf) and Hsieh and Shannon delineated their three approaches in 2005.[1](https://study.sagepub.com/sites/default/files/Hsieh%20and%20Shannon%20-%20Three%20Approaches%20to%20Qualitative%20Content%20Analysis.pdf) The method is now regarded as autonomous, not merely a tool within other qualitative methods.[6](https://www.sciencedirect.com/science/article/abs/pii/S0260691717301429)\n\n## Variants\n\nHsieh and Shannon distinguish three approaches. In conventional content analysis, coding categories are derived directly from the text data, appropriate when existing theory or research on a phenomenon is limited. In directed analysis, initial codes come from a theory or prior research findings, aiming to validate or extend a conceptual framework. Summative analysis involves counting and comparisons, usually of keywords, followed by interpretation of the underlying context.[1](https://study.sagepub.com/sites/default/files/Hsieh%20and%20Shannon%20-%20Three%20Approaches%20to%20Qualitative%20Content%20Analysis.pdf)\n\nOther named variants include non-frequency content analysis, ethnographic content analysis (Altheide, 1987), thematic coding (Boyatzis, 1998), flexible content analysis (Rustemeyer, 1992), and thematic content analysis (Smith, 1992).[7](https://www.qualitative-research.net/index.php/fqs/article/download/3392/4502/14188) Elo and Kyngäs proposed \"structured\" and \"unconstrained\" paths for directed analysis based on the categorization matrix.[3](https://pmc.ncbi.nlm.nih.gov/articles/PMC7932246/)\n\n## Applications\n\n[Content analysis](https://www.edgepedia.org/content-analysis) is heavily used in healthcare and public health research, exemplified by suicide-related social media content analysis and analysis of patients' medical records; directed content analysis in particular is a common data-analysis method in healthcare research.[2](https://www.jpmph.org/journal/view.php?doi=10.3961%2Fjpmph.22.471) • [3](https://pmc.ncbi.nlm.nih.gov/articles/PMC7932246/)\n\nQDA software such as [NVivo](https://www.edgepedia.org/nvivo), ATLAS.ti, and MAXQDA supports the method, acting as an assistant and documentation center rather than replacing qualitative judgment.[10](https://www.miguelangelmartinez.net/IMG/pdf/2000_mayring_content_analysis.pdf) • [17](https://us2.sagepub.com/sites/default/files/upm-binaries/47546_ch_1.pdf) Since 2023, ATLAS.ti and MAXQDA have incorporated access to ChatGPT, and NVivo earlier added NLP-based auto-coding and sentiment analysis.[18](https://sage.cnpereading.com/doi/10.1177/10497323251321712) MAXQDA and ATLAS.ti now include AI-powered features such as automatic summary generation, code suggestions, and integrated chat functionality.[11](https://qca-method.net/documents/kuckartz-raediker-2024-integrating-ai-in-qualitative-content-analysis.pdf)\n\nAgainst thematic analysis, the main difference lies in the opportunity for quantification: measuring the frequency of categories and themes is possible in content analysis, with caution, as a proxy for significance, whereas in thematic analysis a theme's importance does not depend on quantifiable measures.[19](https://onlinelibrary.wiley.com/doi/10.1111/nhs.12048) In content analysis, research questions guide systematic extraction of meaning units from the start, whereas thematic analysis keeps coding flexible throughout.[20](https://link.springer.com/article/10.1007/s11135-025-02220-9) Against grounded theory, content analysis typically collects all data before analysis, whereas grounded theory uses simultaneous data collection and analysis with theoretical sampling until categories are saturated.[20](https://link.springer.com/article/10.1007/s11135-025-02220-9)\n\n## Limitations and alternatives\n\nDocumented failure modes include confusing level of abstraction with degree of interpretation, since high abstraction and interpretation challenge trustworthiness; discerning the \"red thread\" through the report and making clear whose voice, participants' or researchers', is heard; and code assignment that depends on the coder's subjective impressions of latent contextual meanings, which can lower intercoder agreement and replicability.[6](https://www.sciencedirect.com/science/article/abs/pii/S0260691717301429) • [7](https://www.qualitative-research.net/index.php/fqs/article/download/3392/4502/14188) As a descriptive technique, inferences cannot go beyond description to explain attributes of content producers or effects on receivers; causal claims require independent corroboration.[7](https://www.qualitative-research.net/index.php/fqs/article/download/3392/4502/14188) [Criticism](https://www.edgepedia.org/criticism) has also been raised that the method lacks clarity in terminology and philosophical premises, and some approaches treat it as merely descriptive with a low analytical level.[20](https://link.springer.com/article/10.1007/s11135-025-02220-9)\n\nAI-assisted coding has changed practice since 2023, and performance is mixed. In a February 2024 test, ChatGPT-4 generated accurate brief summaries, but thematic analysis, keyword highlighting, and cross-theme insights never generated satisfactory results.[21](https://academic.oup.com/academicmedicine/article/100/10/1134/8361603) MAXQDA's AI Coding beta feature, released August 27, 2024, and running on Anthropic's Claude models, captured 64% to 66.5% of manually coded segments on average across 101 coding cycles; the study supports a hybrid approach in which AI codes serve as a reference but human coders render final judgment.[22](https://sage.cnpereading.com/doi/10.1177/16094069251407046) In a blinded comparison on focus-group data, LLMs achieved 93.5% mean deductive coding agreement (κ = 0.34) versus 92.7% (κ = 0.34) for blinded human coders, but the mean comprehensive error rate in inductive analysis was 12.4%, so human verification remains necessary.[23](https://journals.plos.org/digitalhealth/article?id=10.1371%2Fjournal.pdig.0001189) One study of maternity-provider transcripts found ChatGPT 4 exceeded 80% inductive-coding accuracy and reduced coding time by 81%, but produced more general codes than human coders and lacked domain-specific terminology.[24](https://onlinelibrary.wiley.com/doi/full/10.1111/aphw.70038)\n\n## References\n\n1. [Three Approaches to Qualitative Content Analysis (Hsieh & Shannon, 2005, Qualitative Health Research 15, 1277-1288, DOI 10.1177/1049732305276687)](https://study.sagepub.com/sites/default/files/Hsieh%20and%20Shannon%20-%20Three%20Approaches%20to%20Qualitative%20Content%20Analysis.pdf)\n2. [Qualitative Research in Healthcare: Data Analysis (JPMpH)](https://www.jpmph.org/journal/view.php?doi=10.3961%2Fjpmph.22.471)\n3. [Directed qualitative content analysis: the description and elaboration of its underpinning methods and data analysis process (PMC)](https://pmc.ncbi.nlm.nih.gov/articles/PMC7932246/)\n4. [Graneheim & Lundman (2004), Qualitative content analysis in nursing research, Nurse Education Today 24(2):105-112, DOI 10.1016/j.nedt.2003.10.001](https://cms.spirhr.org/event/12/contributions/38/attachments/45/91/content%20analysis.pdf)\n5. [Qualitative Content Analysis (Mayring, 2014 book chapter)](https://qualitative-content-analysis.org/wp-content/uploads/Mayring2014QualitativeContentAnalysis.pdf)\n6. [Methodological challenges in qualitative content analysis: A discussion paper (Graneheim et al., Nurse Education Today)](https://www.sciencedirect.com/science/article/abs/pii/S0260691717301429)\n7. [Searching for the Core / historiographic review of QCA definitions (FQS 20(3), 2019)](https://www.qualitative-research.net/index.php/fqs/article/download/3392/4502/14188)\n8. [Sample sizes for saturation in qualitative research: A systematic review of empirical tests](https://www.sciencedirect.com/science/article/pii/S0277953621008558)\n9. [Intercoder Reliability in Qualitative Research: Debates and Practical Guidelines (O'Connor & Joffe, 2020)](https://journals.sagepub.com/doi/full/10.1177/1609406919899220)\n10. [Qualitative Content Analysis (Mayring, 2000, FQS 1(2), DOI 10.17169/fqs-1.2.1089)](https://www.miguelangelmartinez.net/IMG/pdf/2000_mayring_content_analysis.pdf)\n11. [Kuckartz & Rädiker (2024): Integrating Artificial Intelligence (AI) in Qualitative Content Analysis](https://qca-method.net/documents/kuckartz-raediker-2024-integrating-ai-in-qualitative-content-analysis.pdf)\n12. [Elo & Kyngäs (2008), The qualitative content analysis process, Journal of Advanced Nursing 62(1):107-115](https://onlinelibrary.wiley.com/doi/10.1111/j.1365-2648.2007.04569.x)\n13. [Code Saturation Versus Meaning Saturation: How Many Interviews Are Enough? (Hennink et al., PMC copy)](https://pmc.ncbi.nlm.nih.gov/articles/PMC9359070/)\n14. [Sample Sizes for 10 Types of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, and Next Steps (2024)](https://journals.sagepub.com/doi/10.1177/16094069241296206)\n15. [Qualitative Content Analysis: From Kracauer's Beginnings to Today's Challenges (Kuckartz, 2019, FQS)](https://www.qualitative-research.net/index.php/fqs/article/view/3370)\n16. [Siegfried Kracauer (1952). The Challenge of Qualitative Content Analysis. Public Opinion Quarterly.](https://doi.org/10.1086/266427)\n17. [Content Analysis: An Introduction to Its Methodology, Chapter 1 (Krippendorff)](https://us2.sagepub.com/sites/default/files/upm-binaries/47546_ch_1.pdf)\n18. [Query-Based Analysis: A Strategy for Analyzing Qualitative Data Using ChatGPT (2025)](https://sage.cnpereading.com/doi/10.1177/10497323251321712)\n19. [Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study (Vaismoradi, Turunen & Bondas, 2013, Nursing & Health Sciences)](https://onlinelibrary.wiley.com/doi/10.1111/nhs.12048)\n20. [Qualitative content analysis–framing the analytical process of inductive content analysis to develop a sound study design (Quality & Quantity, 2025)](https://link.springer.com/article/10.1007/s11135-025-02220-9)\n21. [Artificial Intelligence to Support Qualitative Data Analysis: Promises, Approaches, Pitfalls (Academic Medicine, 2025)](https://academic.oup.com/academicmedicine/article/100/10/1134/8361603)\n22. [Evaluating AI-Assisted Deductive Coding in MAXQDA: A Methodological Analysis of Inputs and Outputs (2025)](https://sage.cnpereading.com/doi/10.1177/16094069251407046)\n23. [Large language models for thematic analysis in healthcare research: A blinded mixed-methods comparison with human analysts (PLOS Digital Health)](https://journals.plos.org/digitalhealth/article?id=10.1371%2Fjournal.pdig.0001189)\n24. [Generative AI for thematic analysis in a maternal health study (Applied Psychology: Health and Well-Being, 2025)](https://onlinelibrary.wiley.com/doi/full/10.1111/aphw.70038)\n\n---\n*Topic: Encyclopedia › Physical world and mathematics › General science and scientific practice › Research methods and experimental design › Qualitative analysis and coding*\n\n*Initially written Sep 29, 2026 · Edited: Oct 15, 2026; Oct 25, 2026*\n\n*Copyright 2026 EdgeChat AI, a subsidiary of Biostate AI.*\n\nLicense: Edgepedia Community License 1.0, https://www.edgepedia.org/edgepedia/license\n", "same_as": [], "url": "https://www.edgepedia.org/qualitative-content-analysis", "markdown_url": "https://www.edgepedia.org/qualitative-content-analysis.md", "license": { "name": "Edgepedia Community License 1.0", "url": "https://www.edgepedia.org/edgepedia/license", "summary": "Free with credit, commercial use included. AI training is open to everyone. 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