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Anàlisi Factorial×Anàlisi Temàtica×
CampEstadística per a la recercaRecerca qualitativa
FamíliaProcess / pipelineProcess / pipeline
Any d'origen19312006
Autor originalLouis Leon ThurstoneVirginia Braun and Victoria Clarke
TipusMethodMethod
Font seminalThurstone, 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 ↗
ÀliesEFA, CFA, latent variable modelingTA, Reflexive Thematic Analysis
Relacionats33
ResumFactor 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.
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ScholarGateCompara mètodes: Factor Analysis · Thematic Analysis. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare