विधियों की तुलना करें

	बहु-समूह पैमाना विकास	अन्वेषणात्मक कारक विश्लेषण (EFA)
क्षेत्र	मनोमिति	सांख्यिकी
परिवार	Latent structure	Latent structure
उद्भव वर्ष	1971 (multi-group CFA); 2000 (applied synthesis for scale development)	—
प्रवर्तक	Jöreskog, K. G. (multi-group SEM framework); systematised for scale development by Vandenberg & Lance (2000)	—
प्रकार	Scale development / measurement model testing	Latent variable / dimension reduction
मौलिक स्रोत	Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70.	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.
उपनाम	MGSD, cross-group scale development, multi-sample scale development, comparative scale construction	common factor analysis, açımlayıcı faktör analizi, factor analysis
संबंधित	6	4
सारांश	Multi-group scale development constructs and validates a measurement scale simultaneously across two or more distinct populations or groups. The approach integrates standard item generation and factor-analytic procedures with a systematic hierarchy of measurement invariance tests to ensure that the resulting scale measures the same construct in the same way in every target group.	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.