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Reliability of Summed Item Scores Using Structural Equation Modeling: An Alternative to Coefficient Alpha

Published online by Cambridge University Press:  01 January 2025

Samuel B. Green and
Yanyun Yang
Samuel B. Green*
Affiliation:
Arizona State University
Yanyun Yang
Affiliation:
Florida State University
*
Requests for reprints should be sent to Samuel B. Green, Arizona State University, P.O. Box 870611, Tempe, AZ, 85287-0611, USA. E-mail: samgreen@asu.edu
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Abstract

A method is presented for estimating reliability using structural equation modeling (SEM) that allows for nonlinearity between factors and item scores. Assuming the focus is on consistency of summed item scores, this method for estimating reliability is preferred to those based on linear SEM models and to the most commonly reported estimate of reliability, coefficient alpha.

Keywords

reliabilitystructural equation modelingfactor analysis of categorical datareliability of scales with Likert items

Information

Type
Theory and Methods
Information
Psychometrika , Volume 74 , Issue 1 , March 2009, pp. 155 - 167
Copyright
Copyright © 2008 The Psychometric Society

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