Estimation of Reliability for Multiple-Component Measuring Instruments in Hierarchical Designs

A method for estimation of reliability for multiple-component measuring instruments with clustered data is outlined. The approach is applicable with hierarchical designs where individuals are nested within higher order units and exhibit possibly related performance on components of a scale of intere...

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Bibliographic Details
Published inStructural equation modeling Vol. 12; no. 4; pp. 536 - 550
Main Authors Raykov, Tenko, du Toit, Stephen H. C.
Format Journal Article
LanguageEnglish
Published Hove Lawrence Erlbaum Associates, Inc 01.10.2005
Psychology Press
Subjects
Computation
Estimating techniques
Measurement Techniques
Reliability
Statistical Analysis
Structural Equation Models
Test Reliability
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Summary:A method for estimation of reliability for multiple-component measuring instruments with clustered data is outlined. The approach is applicable with hierarchical designs where individuals are nested within higher order units and exhibit possibly related performance on components of a scale of interest. The procedure is developed within the framework of multilevel covariance structure modeling. The described method is useful for point and interval estimation of the degree of consistency of measurement with congeneric composites in hierarchical populations, and is illustrated with an empirical example.
ISSN:1070-5511
1532-8007
DOI:10.1207/s15328007sem1204_2