1997/06/01 by Tenko Raykov
Decision Sciences · Engineering · Mathematics · #Advanced Statistical Methods and Models #Algorithm #Applied mathematics #Composite number #Cronbach's alpha #Econometrics #Engineering #Estimation #Estimator #Factorial #Mathematical analysis #Mathematics #Multi-Criteria Decision Making #Psychometric Methodologies and Testing #Psychometrics #Reliability (semiconductor) #Reliability engineering #Scale (ratio) #Statistics #Structural equation modeling
paper · doi:10.1177/01466216970212006
crossref issued 1997/06/01 · crossref published 1997/06/01 · crossref published-online 1997/06/01 · crossref published-print 1997/06/01 · openalex publication_date 1997/06/01 · crossref created 2007/03/10 · openalex created_date 2025/10/10 · crossref deposited 2026/04/28 · openalex updated_date 2026/08/05 · crossref indexed 2026/08/05
A structural equation model is described that permits estimation of the reliability index and coefficient of a composite test for congeneric measures. The method is also helpful in exploring the factorial structure of an item set, and its use in scale reliability estimation and development is illustrated. The modeling. estimator of composite reliability it yields does not possess the general underestimation property of Cronbach's coefficient a.