Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis Factorial× | Análisis Temático× | |
|---|---|---|
| Campo≠ | Estadística para la investigación | Investigación cualitativa |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1931 | 2006 |
| Autor original≠ | Louis Leon Thurstone | Virginia Braun and Victoria Clarke |
| Tipo | Method | Method |
| Fuente seminal≠ | Thurstone, L. L. (1947). Multiple Factor Analysis. University of Chicago Press. DOI ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Alias≠ | EFA, CFA, latent variable modeling | TA, Reflexive Thematic Analysis |
| Relacionados | 3 | 3 |
| Resumen≠ | Factor analysis is a statistical technique for identifying latent (unobserved) dimensions underlying observed variables, developed by Louis Leon Thurstone in the 1930s and formalized by Jöreskog (1969). Exploratory factor analysis (EFA) discovers unknown factor structure from data; confirmatory factor analysis (CFA) tests hypothesized relationships between observed and latent variables. Essential in psychometrics (test development), organizational research (measuring constructs like leadership style), and biomedicine (identifying disease subtypes), factor analysis reduces dimensionality while revealing conceptual organization in multivariate data. | 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. |
| ScholarGateConjunto de datos ↗ |
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