Maximal Criterion Validity and Scale Criterion Validity: A Latent Variable Modeling Approach for Examining Their Difference. Issue 4 (3rd July 2016)

• Record Type: Journal Article
• Authors: Raykov, Tenko; Gabler, Siegfried; Dimitrov, Dimiter M.
• Is Part Of: Structural equation modeling. Volume 23:Issue 4(2016)
• Page Start: 544
• Page End: 554
• Publication Date: 2016-07-03
• Subjects: criterion -- criterion validity -- maximal criterion validity -- maximal reliability -- measurement error -- reliability -- validity; Multivariate analysis -- Periodicals; Social sciences -- Statistical methods -- Periodicals; 519.535
• DOI: 10.1080/10705511.2016.1155414
• Languages: English
• ISSNs: 1070-5511

Abstract

Abstract : This article studies the difference between the criterion validity coefficient of the widely used overall scale score for a unidimensional multicomponent measuring instrument and the maximal criterion validity coefficient that is achievable with a linear combination of its components. A necessary and sufficient condition of their identity is presented in the case of measurement errors being uncorrelated among themselves and with a used criterion. An upper bound of the difference in these validity coefficients is provided, indicating that it cannot exceed the discrepancy between the maximal reliability and composite reliability indexes. A readily applicable latent variable modeling procedure is discussed that can be used for point and interval estimation of the difference between the maximal and scale criterion validity coefficients. The outlined method is illustrated with a numerical example.