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Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning

Journal of organizational behavior, 2015-01, Vol.36 (1), p.3-15 [Peer Reviewed Journal]

Copyright © 2014 John Wiley & Sons, Ltd. ;Copyright Wiley Periodicals Inc. Jan 2015 ;ISSN: 0894-3796 ;EISSN: 1099-1379 ;DOI: 10.1002/job.1960 ;CODEN: JORBEJ

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  • Title:
    Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning
  • Author: Bonett, Douglas G. ; Wright, Thomas A.
  • Subjects: confidence interval ; Confidence intervals ; Cronbach's alpha ; Estimating techniques ; Hypothesis testing ; Organizational behavior ; Researcher’s Notebook ; Sample size ; sample size planning ; Studies
  • Is Part Of: Journal of organizational behavior, 2015-01, Vol.36 (1), p.3-15
  • Description: Cronbach’s alpha is one of the most widely used measures of reliability in the social and organizational sciences. Current practice is to report the sample value of Cronbach’s alpha reliability, but a confidence interval for the population reliability value also should be reported. The traditional confidence interval for the population value of Cronbach’s alpha makes an unnecessarily restrictive assumption that the multiple measurements have equal variances and equal covariances. We propose a confidence interval that does not require equal variances or equal covariances. The results of a simulation study demonstrated that the proposed method performed better than alternative methods. We also present some sample size formulas that approximate the sample size requirements for desired power or desired confidence interval precision. R functions are provided that can be used to implement the proposed confidence interval and sample size methods.
  • Publisher: Chichester: Blackwell Publishing Ltd
  • Language: English
  • Identifier: ISSN: 0894-3796
    EISSN: 1099-1379
    DOI: 10.1002/job.1960
    CODEN: JORBEJ
  • Source: Alma/SFX Local Collection
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