Comparer des méthodes

	Analyse de fiabilité de forme courte	Oméga hiérarchique de McDonald (ωh)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1990s–2000s	1999
Auteur d'origine	Conventional practice; codified notably by Smith, McCarthy & Anderson (2000) and Stanton et al. (2002)	Roderick P. McDonald
Type	Scale development / psychometric evaluation	Reliability / composite score validity coefficient
Source fondatrice	Stanton, J. M., Sinar, E. F., Balzer, W. K. & Smith, P. C. (2002). Issues and strategies for reducing the length of self-report scales. Personnel Psychology, 55(1), 167–194.	Reise, S. P., Scheines, R., Widaman, K. F. & Haviland, M. G. (2013). Multidimensionality and structural coefficient bias in structural equation modeling: A bifactor perspective. Educational and Psychological Measurement, 73(1), 5–26.
Alias	abbreviated scale reliability, short-form validation, scale shortening, item reduction reliability	omega hierarchical, omega-h, bifactor omega, composite score validity coefficient
Apparentées	6	5
Résumé	Short-form reliability analysis evaluates whether an abbreviated version of a psychological scale maintains acceptable internal consistency, validity, and structural integrity after items are removed. It is used in survey and assessment research to create briefer instruments that reduce respondent burden without sacrificing measurement quality.	McDonald's hierarchical omega (ωh) is a coefficient derived from a bifactor confirmatory factor model that quantifies what proportion of total-score variance is attributable to a single general factor rather than to group-specific factors or item-level error. Introduced by Roderick P. McDonald (1999) and elaborated for bifactor applications by Reise and colleagues (2013) and Rodriguez and colleagues (2016), it is the primary index used in psychometrics to evaluate whether a composite total score is a defensible summary of a multidimensional scale.