Article2009

Evaluation of Scale Reliability for Unidimensional Measures Using Latent Variable Modeling

212 citations0/0 files storedMeasurement and Evaluation in Counseling and Development

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Psychometric Methodologies and Testing Statistical Methods and Bayesian Inference Reliability and Agreement in Measurement

Abstract

This article outlines a readily and widely applicable procedure of reliability evaluation for scales with unidimensional measures. The method is developed within the framework of the popular latent variable modeling methodology, and it accomplishes point, as well as interval, estimation of measuring instrument reliability. The approach can be employed with scale components that are multinormal or, alternatively, follow a range of nonnormal distributions. In addition, the procedure can be utilized with missing data. The proposed method is illustrated with an empirical example.

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References

1951Coefficient Alpha and the Internal Structure of Tests 1989Structural Equations with Latent Variables 1969Statistical Theories of Mental Test Scores 2012A First Course in Structural Equation Modeling 1971Statistical Analysis of Sets of Congeneric Tests 2002Beyond SEM: General Latent Variable Modeling 1997Scale Reliability, Cronbach's Coefficient Alpha, and Violations of Essential Tau-Equivalence with Fixed Congeneric Components 1967Coefficient Alpha and the Reliability of Composite Measurements

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