Comparar métodos

	Saturación de datos en investigación cualitativa	Análisis Temático
Campo	Investigación cualitativa	Investigación cualitativa
Familia	Process / pipeline	Process / pipeline
Año de origen	1967	2006
Autor original	Barney Glaser and Anselm Strauss	Virginia Braun and Victoria Clarke
Tipo	Concept	Method
Fuente seminal	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.
Alias	saturation, theoretical saturation, thematic saturation, sampling to saturation	TA, Reflexive Thematic Analysis
Relacionados	4	3
Resumen	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.