So sánh phương pháp

	Phân tích nhân tố thăm dò đa phân	Phân tích nhân tố khám phá (EFA)
Lĩnh vực	Trắc lượng tâm lý	Thống kê
Họ	Latent structure	Latent structure
Năm ra đời	1978	—
Người khởi xướng	Bengt Muthén	—
Loại	Latent variable / dimension reduction	Latent variable / dimension reduction
Công trình gốc	Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491.	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.
Tên gọi khác	EFA for ordered-categorical data, polychoric EFA, ordinal exploratory factor analysis, polytomous factor analysis	common factor analysis, açımlayıcı faktör analizi, factor analysis
Liên quan	4	4
Tóm tắt	Polytomous exploratory factor analysis extends standard EFA to ordered categorical (Likert-type) response data by replacing the Pearson correlation matrix with a polychoric correlation matrix. It recovers the latent continuous variable that each polytomous item is assumed to reflect, yielding more accurate factor loadings and better-defined factor structures than treating ordinal scores as if they were continuous.	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.