Comparer des méthodes

	Analyse d'items robuste	Développement d'échelles
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1980s–2000s	1991–1995
Auteur d'origine	Robust methods tradition (Huber, Hampel, Tukey); applied to item analysis by Wilcox and colleagues	Multiple contributors; codified by Robert DeVellis and Lee Anna Clark & David Watson
Type	Diagnostic / item-level evaluation	Multi-step methodological framework
Source fondatrice	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838	DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569
Alias	robust item statistics, outlier-resistant item analysis, robust classical item analysis	questionnaire construction, instrument development, measurement scale construction, psychometric scale building
Apparentées	5	5
Résumé	Robust item analysis applies outlier-resistant statistical methods to the evaluation of individual test or scale items. Instead of classical means and Pearson correlations — both sensitive to extreme scores — it uses trimmed means, Winsorized correlations, or M-estimators to obtain item difficulty and item-total discrimination indices that remain stable when respondent distributions are skewed or contaminated by outliers.	Scale development is a structured, multi-step process for creating psychometrically sound measurement instruments that capture latent psychological constructs. It encompasses construct definition, item generation, expert review, exploratory and confirmatory factor analysis, reliability estimation, and validity evidence collection — producing a final set of items suitable for quantitative research.