On the Bayesian estimation for Cronbach's alpha

Amir Payandeh and Maryam Omidi Najafabadi

Journal of Applied Statistics, 2016, vol. 43, issue 13, 2416-2441

Abstract: This article considers the problem of estimating Cronbach's alpha under a Bayeisan framework. Such Bayes estimator arrives through out approximating distribution of the maximum likelihood estimator for Cronbach's alpha by an F distribution. Then, employing a noninformative prior distribution, Bayes estimator under squared-error and LINEX loss functions have been evaluated. Simulation studies suggest that the Bayes estimator under LINEX loss function reduce biasness of the ordinary maximum likelihood estimator. Moreover, The LINEX Bayes estimator does not sensitive with respect to choice of hyperparameters of prior distribution. R codes for readers to calculate Bayesian Cronbach's alpha have been given.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:43:y:2016:i:13:p:2416-2441

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DOI: 10.1080/02664763.2016.1163529

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