方法对比

	因子分析	Repertory Grid Technique	主题分析
领域	研究统计学	心理学	质性研究
方法族	Process / pipeline	Hypothesis test	Process / pipeline
起源年份	1931	1955	2006
提出者	Louis Leon Thurstone	George Kelly	Virginia Braun and Victoria Clarke
类型	Method	Qualitative-quantitative hybrid	Method
开创性文献	Thurstone, L. L. (1947). Multiple Factor Analysis. University of Chicago Press.	Kelly, G. A. (1955). The psychology of personal constructs. Norton.	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
别名	EFA, CFA, latent variable modeling	Rep Grid, Repertory Grid Test, Kelly Grid	TA, Reflexive Thematic Analysis
相关	3	1	3
摘要	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.	The Repertory Grid is a qualitative-quantitative method derived from Personal Construct Theory that elicits how individuals construe (interpret and evaluate) a domain of interest—people, concepts, events, or objects—through their own idiosyncratic dimensions or 'constructs.' Introduced by George Kelly in 1955, the method generates a grid of elements (e.g., people) rated along personally meaningful bipolar constructs, revealing cognitive structures, values, and reasoning patterns without imposing researcher-defined categories.	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.