Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Análise de Itens por Múltiplos Grupos× | Differential Item Functioning× | |
|---|---|---|
| Área | Psicometria | Psicometria |
| Família | Latent structure | Latent structure |
| Ano de origem≠ | 1986 | 1970s–1993 |
| Autor original≠ | Classical test theory tradition; systematised by Crocker & Algina (1986) | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| Tipo≠ | Comparative item-level analysis | Item-level bias detection |
| Fonte seminal≠ | Crocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341 | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| Outros nomes | MGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysis | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| Relacionados≠ | 6 | 5 |
| 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. | Differential item functioning identifies test or survey items that behave differently for examinees from different groups — such as gender, ethnicity, or language background — after controlling for the underlying ability or trait being measured. DIF analysis is essential for fairness evaluation in educational testing and psychological scale development. |
| ScholarGateConjunto de dados ↗ |
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