Compară metode

	Analiza Fiabilității Multi-Grup	Alfa Cronbach pentru mai multe grupuri
Domeniu	Psihometrie	Psihometrie
Familie	Latent structure	Latent structure
Anul apariției	1990s–2000s	1951 (alpha); multi-group application from 1980s onward
Autorul original	Classical test theory traditions; synthesized in modern practice by Vandenberg & Lance (2000) and Sijtsma (2009)	Lee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance research
Tip	Reliability estimation and comparison	Reliability / internal consistency comparison
Sursa seminală	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.	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.
Denumiri alternative	reliability comparison across groups, group-specific reliability estimation, multi-sample reliability analysis, cross-group internal consistency	group-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alpha
Înrudite	4	4
Rezumat	Multi-group reliability analysis estimates internal consistency or stability coefficients separately within each group and then formally compares them to determine whether a scale functions with equal precision across populations. It is a foundational step in cross-group measurement research, typically carried out alongside or prior to measurement invariance testing.	Multi-group Cronbach's alpha estimates and compares the internal consistency reliability of a scale separately within each of two or more defined subgroups. It is used in cross-cultural, demographic, and comparative psychometric research to establish that a scale measures its construct with equivalent precision across groups before making cross-group comparisons.