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A note on the estimator of the alpha coefficient for standardized variables under normality. (English) Zbl 1306.62424

Summary: The asymptotic standard deviation (SD) of the alpha coefficient with standardized variables is derived under normality. The research shows that the SD of the standardized alpha coefficient becomes smaller as the number of examinees and/or items increase. Furthermore, this research shows that the degree of the dependence of the SD on the number of items is a function of the average correlation coefficients. When the average correlation approaches 1, the SD of the alpha coefficient decreases rapidly as the number of items increase, with the order of items. On the other hand, when the items are only weakly correlated, increasing the number of items decreases the SD of the alpha coefficient at a much slower rate.

MSC:

62P15 Applications of statistics to psychology
Full Text: DOI

References:

[1] Cronbach L.J. (1951) Coefficient alpha and the internal structure of tests. Psychometrika 16:297–334 · Zbl 1367.62314 · doi:10.1007/BF02310555
[2] Feldt L.S. (1965) The approximate sampling distribution of Kuder-Richardson reliability coefficient twenty. Psychometrika 30:357–370 · doi:10.1007/BF02289499
[3] Feldt L.S., Brennan R.L. (1989) Reliability. In: Linn R.L. (ed) Educational Measurement. (Third edition). Macmillan, New York
[4] Kirk R.E. (1982) Experimental Design: Procedures for the Behavioral Sciences (second edition). Brooks/Cole, Pacific Grove, CA · Zbl 0414.62054
[5] Kristof W. (1963) The statistical theory of stepped-up reliability when a test has been divided into several equivalent parts. Psychometrika 28:221–238 · Zbl 0129.11201 · doi:10.1007/BF02289571
[6] Lord F.M., Novick M.R. (1968) Statistical theories of mental test scores. Addison Wesley, Reading, MA · Zbl 0186.53701
[7] Magnus J.R., Neudecker H. (1999) Matrix Differential Calculus with Applications in Statistics and Econometrics (revised edition). Wiley, New York · Zbl 0912.15003
[8] Neudecker H., Satorra A.(1996) The algebraic equality of two asymptotic tests for the hypothesis that a normal distribution has a specified correlation matrix. Statistics and Probability Letters 30:99–103 · Zbl 1059.62550 · doi:10.1016/0167-7152(95)00206-5
[9] Neudecker H., Wesselman A.M. (1990) The asymptotic variance matrix of the sample correlation matrix. Linear Algebra and Its Applications 127:589–599 · Zbl 0716.62025 · doi:10.1016/0024-3795(90)90363-H
[10] Nunnally J.C., Bernstein I.H. (1994) Psychometric Theory (Third edition). McGraw-Hill Inc., New York
[11] van Zyl J.M., Neudecker H., Nel D.G. (2000) On the distribution of the maximum likeliood estimator of Cronbach’s alpha. Psychometrika 65:271–280 · Zbl 1291.62258 · doi:10.1007/BF02296146
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