Confronta i metodi

	Analisi di affidabilità multi-gruppo	Alfa di Cronbach multi-gruppo
Campo	Psicometria	Psicometria
Famiglia	Latent structure	Latent structure
Anno di origine	1990s–2000s	1951 (alpha); multi-group application from 1980s onward
Ideatore	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
Tipo	Reliability estimation and comparison	Reliability / internal consistency comparison
Fonte seminale	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.
Alias	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
Correlati	4	4
Sintesi	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.