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Analisis Reliabilitas Bentuk Singkat×Omega Hierarkis McDonald (ωh)×
BidangPsikometriPsikometri
KeluargaLatent structureLatent structure
Tahun asal1990s–2000s1999
PencetusConventional practice; codified notably by Smith, McCarthy & Anderson (2000) and Stanton et al. (2002)Roderick P. McDonald
TipeScale development / psychometric evaluationReliability / composite score validity coefficient
Sumber perintisStanton, 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. DOI ↗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. DOI ↗
Aliasabbreviated scale reliability, short-form validation, scale shortening, item reduction reliabilityomega hierarchical, omega-h, bifactor omega, composite score validity coefficient
Terkait65
RingkasanShort-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.
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ScholarGateBandingkan metode: Short-form reliability analysis · McDonald's Omega. Diakses 2026-06-19 dari https://scholargate.app/id/compare