Interpretive qualitative content analysis
Interpretive qualitative content analysis (also called conventional content analysis) is a qualitative approach to systematically analysing text in which coding categories emerge directly from the data rather than from a pre-defined coding scheme. The researcher immerses themselves in the material, derives codes inductively through close reading, groups those codes into interpretive categories, and constructs a conceptual account of the content's meaning. It is especially suited to domains where existing theory is sparse and the aim is to understand how participants describe or make sense of a phenomenon.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Hsieh, H.-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1288. · DOI 10.1177/1049732305276687
- Schreier, M. (2012). Qualitative Content Analysis in Practice. Sage. · ISBN 978-0857029485
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.