Comparar métodos

	Análise de Itens por Múltiplos Grupos	Análise de Confiabilidade Multigrupo
Área	Psicometria	Psicometria
Família	Latent structure	Latent structure
Ano de origem	1986	1990s–2000s
Autor original	Classical test theory tradition; systematised by Crocker & Algina (1986)	Classical test theory traditions; synthesized in modern practice by Vandenberg & Lance (2000) and Sijtsma (2009)
Tipo	Comparative item-level analysis	Reliability estimation and comparison
Fonte seminal	Crocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341	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.
Outros nomes	MGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysis	reliability comparison across groups, group-specific reliability estimation, multi-sample reliability analysis, cross-group internal consistency
Relacionados	6	4
Resumo	Multi-group item analysis computes classical item statistics — difficulty, discrimination, and corrected item-total correlations — separately for each subgroup in a sample and then compares those statistics across groups. It is a standard diagnostic step in scale development and test fairness evaluation, revealing items that behave differently for men versus women, across age cohorts, or across cultural groups before more formal DIF testing.	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.