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This multidisciplinary Handbook assesses the different variants, developments and applications of qualitative content analysis. Exploring the method from different angles, leading experts showcase the applicability of qualitative content analysis across social science disciplines.

Covering core methodological issues, such as the increasing role of reflexivity and evaluation criteria, contributing authors consider how qualitative content analysis applies to different types of data and data sources. They also examine its relationship to other methods and approaches, including grounded theory methodology, thematic analysis and the systematic review. The Handbook concludes by debating recent and potential future developments in qualitative content analysis, especially in the context of generative AI.

Providing guidance on how various types of this method can be implemented, the Handbook of Qualitative Content Analysis is invaluable for scholars and students of sociology, psychology, education and health sciences. Qualitative researchers in these disciplines will benefit from this comprehensive overview of the field.