เปรียบเทียบวิธี

	การวิเคราะห์ปัจจัยยืนยัน (Confirmatory Factor Analysis: CFA)	การวิเคราะห์ปัจจัยเชิงสำรวจ (Exploratory Factor Analysis, EFA)	การสร้างแบบจำลองสมการโครงสร้าง (SEM)
สาขาวิชา	การวัดทางจิตวิทยา	สถิติศาสตร์	สถิติศาสตร์
ตระกูล	Latent structure	Latent structure	Latent structure
ปีกำเนิด	1969	—	1970
ผู้ริเริ่ม	Karl Gustav Jöreskog	—	Karl Jöreskog (LISREL framework, 1970s)
ประเภท	Hypothesis-testing latent variable model	Latent variable / dimension reduction	Latent variable / causal modeling
แหล่งต้นตำรับ	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.	Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.	Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
ชื่อเรียกอื่น	CFA, confirmatory FA, measurement model, restricted factor analysis	common factor analysis, açımlayıcı faktör analizi, factor analysis	Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
ที่เกี่ยวข้อง	4	4	5
สรุป	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.	Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.	Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.