Comparer des méthodes

	Analyse d'items pour formes abrégées	Analyse factorielle exploratoire (AFE)
Domaine	Psychométrie	Statistique
Famille	Latent structure	Latent structure
Année d'origine	1990s–2000s	—
Auteur d'origine	Psychometric tradition; methodological articulation by Smith, McCarthy & Anderson (2000)	—
Type	Item selection and evaluation procedure	Latent variable / dimension reduction
Source fondatrice	Smith, G. T., McCarthy, D. M., & Anderson, K. G. (2000). On the sins of short-form development. Psychological Assessment, 12(1), 102–111.	Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
Alias	abbreviated scale item analysis, short-scale item evaluation, item screening for short forms, SFIA	common factor analysis, açımlayıcı faktör analizi, factor analysis
Apparentées	4	4
Résumé	Short-form item analysis is the systematic psychometric evaluation and selection of items when constructing an abbreviated version of a longer measurement instrument. It applies classical and modern item-analysis criteria — item-total correlations, reliability estimates, and factor structure — to identify the smallest item subset that preserves the original scale's psychometric integrity.	Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.