2010•Structural Equation Modeling A Multidisciplinary JournalRequires access

Evaluation of Reliability Coefficients for Two-Level Models via Latent Variable Analysis

Tenko Raykov, Spiridon I. Penev

Open publisher page 10 citations

Abstract

A latent variable analysis procedure for evaluation of reliability coefficients for 2-level models is outlined. The method provides point and interval estimates of group means' reliability, overall reliability of means, and conditional reliability. In addition, the approach can be used to test simple hypotheses about these parameters. The procedure is applicable with unconditional models as well as with conditional models including higher level explanatory variables. The proposed method is illustrated with an empirical example.

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What this paper is about

A latent variable analysis procedure for evaluation of reliability coefficients for 2-level models is outlined. The method provides point and interval estimates of group means' reliability, overall reliability of means, and conditional reliability. In addition, the approach can be used to test simple hypotheses about these parameters. The procedure is applicable with unconditional models as well as with conditional models including higher level explanatory variables. The proposed method is illustrated with an empirical example.

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Available abstract

A latent variable analysis procedure for evaluation of reliability coefficients for 2-level models is outlined. The method provides point and interval estimates of group means' reliability, overall reliability of means, and conditional reliability. In addition, the approach can be used to test simple hypotheses about these parameters. The procedure is applicable with unconditional models as well as with conditional models including higher level explanatory variables. The proposed method is illustrated with an empirical example.

Key concepts: Reliability (semiconductor), Latent variable, Statistics, Latent variable model, Mathematics, Variable (mathematics), Computer science, Econometrics

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