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Reliability Beyond Theory and Into Practice

Published online by Cambridge University Press:  01 January 2025

Klaas Sijtsma
Klaas Sijtsma*
Affiliation:
Tilburg University
*
Requests for reprints should be sent to Klaas Sijtsma, Department of Methodology and Statistics, Faculty of Social Sciences, Tilburg University, PO Box 90153, 5000LE, Tilburg, The Netherlands. E-mail: k.sijtsma@uvt.nl
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Abstract

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The critical reactions of Bentler (2009, doi:10.1007/s11336-008-9100-1), Green and Yang (2009a, doi:10.1007/s11336-008-9098-4; 2009b, doi:10.1007/s11336-008-9099-3), and Revelle and Zinbarg (2009, doi:10.1007/s11336-008-9102-z) to Sijtsma’s (2009, doi:10.1007/s11336-008-9101-0) paper on Cronbach’s alpha are addressed. The dissemination of psychometric knowledge among substantive researchers is discussed.

Keywords

common factor reliabilityCronbach’s alphastructural equation modeling of reliability
Type
Theory and Methods
Information
Psychometrika , Volume 74 , Issue 1 , March 2009 , pp. 169 - 173
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This article distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
Copyright
Copyright © 2008 The Author(s)

References

Bentler, P.A. (2009). Alpha, dimension-free, and model-based internal consistency reliability. Psychometrika. doi: 10.1007/s11336-008-9100-1.CrossRefGoogle Scholar
Borsboom, D. (2006). The attack of the psychometricians. Psychometrika, 71, 425–440.CrossRefGoogle ScholarPubMed
Cronbach, L.J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.CrossRefGoogle Scholar
Cronbach, L.J. (1954). Report on a psychometric mission to Clinicia. Psychometrika, 19, 263–270.CrossRefGoogle Scholar
Cronbach, L.J. (2004). My current thoughts on coefficient alpha and successor procedures. Educational and Psychological Measurement, 64, 391–418.CrossRefGoogle Scholar
Green, S.A., & Yang, Y. (2009a). Commentary on coefficient alpha: a cautionary tale. Psychometrika. doi: 10.1007/s11336-008-9098-4.CrossRefGoogle Scholar
Green, S.A., & Yang, Y. (2009b). Reliability of summed item scores using structural equation modeling: an alternative to coefficient alpha. Psychometrika. doi: 10.1007/s11336-008-9099-3.CrossRefGoogle Scholar
McDonald, R.P. (1999). Test theory: a unified approach, Mahwah: Erlbaum.Google Scholar
Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21, 173–184.CrossRefGoogle Scholar
Raykov, T. (2001). Bias of coefficient α for fixed congeneric measures with correlated errors. Applied Psychological Measurement, 25, 69–76.CrossRefGoogle Scholar
Raykov, T., Shrout, P.E. (2002). Reliability of scales with general structure: Point and interval estimation using a structural equation modeling approach. Structural Equation Modeling, 9, 195–212.CrossRefGoogle Scholar
Revelle, W., & Zinbarg, R.E. (2009). Coefficients alpha, beta, omega and the glb: comments on Sijtsma. Psychometrika. doi: 10.1007/s11336-008-9102-z.CrossRefGoogle Scholar
Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika. doi: 10.1007/s11336-008-9101-0.CrossRefGoogle Scholar
Ten Berge, J.M.F., Sočan, G. (2004). The greatest lower bound to the reliability of a test and the hypothesis of unidimensionality. Psychometrika, 69, 613–625.CrossRefGoogle Scholar