Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Насыщение данными в качественных исследованиях× | Тематический анализ× | |
|---|---|---|
| Область | Качественные исследования | Качественные исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1967 | 2006 |
| Автор метода≠ | Barney Glaser and Anselm Strauss | Virginia Braun and Victoria Clarke |
| Тип≠ | Concept | Method |
| Основополагающий источник≠ | Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302560 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Другие названия≠ | saturation, theoretical saturation, thematic saturation, sampling to saturation | TA, Reflexive Thematic Analysis |
| Связанные≠ | 4 | 3 |
| Сводка≠ | Data saturation is a foundational principle in qualitative research describing the point at which data collection yields no new themes, codes, or insights—additional data becomes redundant. Introduced by Glaser and Strauss (1967) in their work on grounded theory, saturation guides decisions about sample size and when to stop recruiting participants. Saturation is not a fixed number but a dynamic endpoint determined by examining whether new data are adding substantively new information. The concept is central to claims of rigor and theoretical adequacy in qualitative research, signaling that the researcher has gathered sufficient data to understand the phenomenon in depth. | 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. |
| ScholarGateНабор данных ↗ |
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