Confidence Intervals for Cronbach's Coefficient Alpha Values
AbstractCoefficient Alpha, which is widely used in empirical research, estimates the reliability of a test consisting of parallel items. In practice it is difficult to compare values of alpha across studies as it depends on the number of items used. In this paper we provide a simple solution, which amounts to computing the confidence intervals of an alpha, as these intervals automatically account for differences across the numbers of items. We also give appropriate statistics to test for significant differences of alpha values across studies.
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Bibliographic InfoPaper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2003-041-MKT.
Date of creation: 18 Jun 2003
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confidence intervals; Cronbach's alpha; test reliability;
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- Leonard Feldt, 1965. "The approximate sampling distribution of Kuder-Richardson reliability coefficient twenty," Psychometrika, Springer, vol. 30(3), pages 357-370, September.
- J. Zyl & H. Neudecker & D. Nel, 2000. "On the distribution of the maximum likelihood estimator of Cronbach's alpha," Psychometrika, Springer, vol. 65(3), pages 271-280, September.
- Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer, vol. 16(3), pages 297-334, September.
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