Testing Criterion Correlations With Scale Component Measurement Errors Using Latent Variable Modeling
| Autor: | George A. Marcoulides, Youngjun Lee, Tenko Raykov, Siegfried Gabler |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Observational error
Sociology and Political Science Scale (ratio) 05 social sciences 050401 social sciences methods General Decision Sciences 01 natural sciences Latent class model 010104 statistics & probability Variable (computer science) 0504 sociology Bayesian information criterion Modeling and Simulation Multiple comparisons problem Statistics Criterion validity Applied mathematics 0101 mathematics Latent variable model General Economics Econometrics and Finance Mathematics |
| Zdroj: | Structural Equation Modeling: A Multidisciplinary Journal. 24:468-474 |
| ISSN: | 1532-8007 1070-5511 |
| DOI: | 10.1080/10705511.2015.1136220 |
| Popis: | A latent variable modeling method for testing criterion correlations with measurement error terms in multicomponent measuring instruments is outlined. The approach is based on an application of the Benjamini–Hochberg multiple testing procedure and can be used when assumptions of validity estimation related procedures need to be examined. The method also allows studying the extent to which criterion validity coefficients might be due to the relationship between a presumed underlying latent construct evaluated by a psychometric scale and a criterion variable, or could be a consequence of the relation between measurement error in the overall scale score and the criterion. The discussed procedure is widely applicable with popular latent variable modeling software, and is illustrated using a numerical example. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|