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On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha

Published online by Cambridge University Press:  01 January 2025

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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This discussion paper argues that both the use of Cronbach’s alpha as a reliability estimate and as a measure of internal consistency suffer from major problems. First, alpha always has a value, which cannot be equal to the test score’s reliability given the interitem covariance matrix and the usual assumptions about measurement error. Second, in practice, alpha is used more often as a measure of the test’s internal consistency than as an estimate of reliability. However, it can be shown easily that alpha is unrelated to the internal structure of the test. It is further discussed that statistics based on a single test administration do not convey much information about the accuracy of individuals’ test performance. The paper ends with a list of conclusions about the usefulness of alpha.

Type
Theory and Methods
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
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Copyright
Copyright © 2008 The Author(s)

References

Bentler, P. A., Woodward, J. A. (1980). Inequalities among lower bounds to reliability: With applications to test construction and factor analysis. Psychometrika, 45, 249267.CrossRefGoogle Scholar
Borsboom, D. (2005). Measuring the mind. Conceptual issues in contemporary psychometrics, Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Borsboom, D. (2006). The attack of the psychometricians. Psychometrika, 71, 425440.CrossRefGoogle ScholarPubMed
Campbell, D. T. (1960). Recommendations for APA tests regarding construct, trait or discriminant validity. American Psychologist, 15, 546553.CrossRefGoogle Scholar
Cavalini, P. M. (1992). It’s an ill wind that brings no good. Studies on odour annoyance and the dispersion of odorant concentrations from industries. Ph.D. thesis, University of Groningen, The Netherlands.Google Scholar
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297334.CrossRefGoogle Scholar
Cronbach, L. J. (1988). Internal consistency of tests: Analyses old and new. Psychometrika, 53, 6370.CrossRefGoogle Scholar
Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78, 98104.CrossRefGoogle Scholar
De Hooge, I. E., Zeelenberg, M., Breugelmans, S. M. (2007). Moral sentiments and cooperation: Differential influences of shame and guilt. Cognition and Emotion, 21, 10251042.CrossRefGoogle Scholar
Ellis, J. L., Van den Wollenberg, A. L. (1993). Local homogeneity in latent trait models. A characterization of the homogeneous monotone IRT model. Psychometrica, 58, 417429.CrossRefGoogle Scholar
Emons, W. H. M., Sijtsma, K., Meijer, R. R. (2007). On the consistency of individual classification using short scales. Psychological Methods, 12, 105120.CrossRefGoogle ScholarPubMed
Feldt, L. S., Woodruff, D. J., Salih, F. A. (1987). Statistical inference for coefficient alpha. Applied Psychological Measurement, 11, 93103.CrossRefGoogle Scholar
Green, S. B., Lissitz, R. W., Mulaik, S. A. (1977). Limitations of coefficient alpha as an index of test unidimensionality. Educational and Psychological Measurement, 37, 827838.CrossRefGoogle Scholar
Guttman, L. (1945). A basis for analyzing test-retest reliability. Psychometrika, 10, 255282.CrossRefGoogle ScholarPubMed
Hayashi, K., Kamata, A. (2005). A note on the estimator of the alpha coefficient for standardized variables under normality. Psychometrika, 70, 579586.CrossRefGoogle Scholar
Holland, P. W. (1990). On the sampling theory foundations of item response theory models. Psychometrika, 55, 577601.CrossRefGoogle Scholar
Hoyt, C. (1941). Test reliability estimated by analysis of variance. Psychometrika, 6, 153160.CrossRefGoogle Scholar
Jackson, P. H., Agunwamba, C. C. (1977). Lower bounds for the reliability of the total score on a test composed of non-homogeneous items: I: Algebraic lower bounds. Psychometrika, 42, 567578.CrossRefGoogle Scholar
Kistner, E. O., Muller, K. E. (2004). Exact distributions of intraclass correlation and Cronbach’s alpha with Gaussian data and general covariance. Psychometrika, 69, 459474.CrossRefGoogle ScholarPubMed
Kuder, G. F., Richardson, M. W. (1937). The theory of estimation of test reliability. Psychometrika, 2, 151160.CrossRefGoogle Scholar
Lord, F. M. (1960). An empirical study of the normality and independence of errors of measurement in test scores. Psychometrika, 25, 91104.CrossRefGoogle Scholar
Lord, F. M., Novick, M. R. (1968). Statistical theories of mental test scores, Reading: Addison-Wesley.Google Scholar
Molenaar, P. C. M. (2004). A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology—This time forever. Measurement, 2, 201218.Google Scholar
Novick, M. R. (1966). The axioms and principal results of classical test theory. Journal of Mathematical Psychology, 3, 118.CrossRefGoogle Scholar
Novick, M. R., Lewis, C. (1967). Coefficient alpha and the reliability of composite measurements. Psychometrika, 32, 113.CrossRefGoogle ScholarPubMed
Nunnally, J. C. (1978). Psychometric theory, New York: McGraw-Hill.Google Scholar
Raykov, T. (2001). Bias of coefficient alpha for fixed congeneric measures with correlated errors. Applied Psychological Measurement, 25, 6976.CrossRefGoogle Scholar
Reise, S. P., Waller, N. G. (1993). Traitedness and the assessment of response pattern scalability. Journal of Personality and Social Psychology, 65, 143151.CrossRefGoogle Scholar
Rodriguez, M. C., Maeda, Y. (2006). Meta-Analysis of coefficient alpha. Psychological Methods, 11, 306322.CrossRefGoogle ScholarPubMed
Schmitt, N. (1996). Uses and abuses of coefficient alpha. Psychological Assessment, 8, 350353.CrossRefGoogle Scholar
Shapiro, A., Ten Berge, J. M. F. (2000). The asymptotic bias of minimum trace factor analysis, with applications to the greatest lower bound to reliability. Psychometrika, 65, 413425.CrossRefGoogle Scholar
SPSS Inc. (2006). SPSS 14.0 for Windows (computer software). Chicago: Author.Google Scholar
Takane, Y., De Leeuw, J. (1987). On the relationship between item response theory and factor analysis of discretized variables. Psychometrika, 52, 393408.CrossRefGoogle Scholar
Tellegen, A. (1988). The analysis of consistency in personality assessment. Journal of Personality, 56, 621663.CrossRefGoogle Scholar
Ten Berge, J. M. F., Kiers, H. A. L. (1991). A numerical approach to the exact and the approximate minimum rank of a covariance matrix. Psychometrika, 56, 309315.CrossRefGoogle Scholar
Ten Berge, J. M. F., & Kiers, H. A. L. (2003). The minimum rank factor analysis program MRFA (Internal report). Department of Psychology, University of Groningen, The Netherlands.Google 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, 613625.CrossRefGoogle Scholar
Ten Berge, J. M. F., Zegers, F. E. (1978). A series of lower bounds to the reliability of a test. Psychometrika, 43, 575579.CrossRefGoogle Scholar
Ten Berge, J.M.F., Snijders, T.A.B., Zegers, F.E. (1981). Computational aspects of the greatest lower bound to the reliability and constrained minimum trace factor analysis. Psychometrika, 46, 201213.CrossRefGoogle Scholar
Van Zyl, J. M., Neudecker, H., Nel, D. G. (2000). On the distribution of the maximum likelihood estimator of Cronbach’s alpha. Psychometrika, 65, 271280.CrossRefGoogle Scholar
Verhelst, N. D. (1998). Estimating the reliability of a test from a single test administration (Measurement and Research Department Report 98-2). Arnhem, The Netherlands, CITO National Institute for Educational Measurement.Google Scholar
Watson, J. D., Crick, F. H. C. (1953). Molecular structure of nuclied acids—a structure for deoxyribose nucleid acid. Nature, 171, 737738.CrossRefGoogle Scholar
Woodhouse, B., Jackson, P. H. (1977). Lower bounds for the reliability of the total score on a test composed of non-homogeneous items: II: A search procedure to locate the greatest lower bound. Psychometrika, 42, 579591.CrossRefGoogle Scholar
Zinbarg, R. E., Revelle, W., Yovel, I., Li, W. (2005). Cronbach’s α, Revelle’s β, and McDonald’s ω H: their relations with each other and two alternative conceptualizations of reliability. Psychometrika, 70, 123133.CrossRefGoogle Scholar