Intraclass Correlation Coefficients in Hierarchical Design Studies With Discrete Response Variables A Note on a Direct Interval Estimation Procedure

A latent variable modeling procedure that can be used to evaluate intraclass correlation coefficients in two-level settings with discrete response variables is discussed. The approach is readily applied when the purpose is to furnish confidence intervals at prespecified confidence levels for these c...

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Bibliographic Details
Published inEducational and psychological measurement Vol. 75; no. 6; pp. 1063 - 1070
Main Authors Raykov, Tenko, Marcoulides, George A.
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.12.2015
SAGE PUBLICATIONS, INC
Subjects
Behavior
Computation
Correlation
Education
Hierarchical Linear Modeling
Psychology
Statistical Analysis
interval estimation
intraclass correlation coefficient
multilevel modeling
hierarchical data
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ISSN0013-1644
1552-3888
1552-3888
DOI10.1177/0013164414564052

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Summary:A latent variable modeling procedure that can be used to evaluate intraclass correlation coefficients in two-level settings with discrete response variables is discussed. The approach is readily applied when the purpose is to furnish confidence intervals at prespecified confidence levels for these coefficients in setups with binary or ordinal outcome measures and nesting of subjects within higher order units. The method can aid educational and behavioral researchers in their study of sources of observed outcome variability and model choice considerations in multilevel settings, and is illustrated with empirical survey data.
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ISSN:0013-1644
1552-3888
1552-3888
DOI:10.1177/0013164414564052