Сравнение методов

	Интерпретативный качественный контент-анализ	Тематический анализ
Область	Качественные методы	Качественные исследования
Семейство	Process / pipeline	Process / pipeline
Год появления	2005 (interpretive strand formalised); qualitative content analysis roots in the 1980s–1990s	2006
Автор метода	Hsiu-Fang Hsieh & Sarah E. Shannon (conventional/interpretive strand); Phillip Mayring (qualitative content analysis generally)	Virginia Braun and Victoria Clarke
Тип	Qualitative analytic approach	Method
Основополагающий источник	Hsieh, H.-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1288.	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Другие названия	conventional content analysis, inductive qualitative content analysis, interpretive QCA, IQCA	TA, Reflexive Thematic Analysis
Связанные	5	3
Сводка	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.	Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.