Comparar métodos

	Análise de Itens por Múltiplos Grupos	Teste de Invariância de Medição Multi-grupo
Área	Psicometria	Psicometria
Família	Latent structure	Latent structure
Ano de origem	1986	1971–1993
Autor original	Classical test theory tradition; systematised by Crocker & Algina (1986)	Jöreskog, K. G. (1971); Meredith, W. (1993)
Tipo	Comparative item-level analysis	Model comparison / hypothesis testing
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	measurement invariance, factorial invariance, cross-group invariance, MI testing
Relacionados	6	6
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 measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts.