Maximal Reliability and Composite Reliability: Examining Their Difference for Multicomponent Measuring Instruments Using Latent Variable Modeling
| Autor: | Dimiter M. Dimitrov, Siegfried Gabler, Tenko Raykov |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Sociology and Political Science
Scale (ratio) 05 social sciences Composite number Interval estimation General Decision Sciences 050109 social psychology Reliability engineering Modeling and Simulation 0502 economics and business Statistics Measuring instrument 0501 psychology and cognitive sciences Point (geometry) Latent variable model Linear combination General Economics Econometrics and Finance 050203 business & management Reliability (statistics) Mathematics |
| Zdroj: | Structural Equation Modeling: A Multidisciplinary Journal. 23:384-391 |
| ISSN: | 1532-8007 1070-5511 |
| DOI: | 10.1080/10705511.2014.966369 |
| Popis: | A latent variable modeling method for examining the difference between maximal reliability and composite reliability for homogenous multicomponent measuring instruments is outlined. The procedure allows point and interval estimation of the discrepancy between the reliability coefficients associated with the optimal linear combination and with the popular unit-weighted sum of the scale components. The approach permits a researcher to make an informed choice if needed between the maximal reliability and composite reliability coefficients and concepts in an empirical setting as indexes of quality of measurement with an instrument under consideration. The discussed method is illustrated using numerical data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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