Alpha's Standard Error (ASE): An Accurate and Precise Confidence Interval Estimate

Journal of Applied Psychology 2004, Vol. 89, No. 5, 792-808

18 Pages Posted: 21 Nov 2015 Last revised: 19 Feb 2016

See all articles by Adam Duhachek

Adam Duhachek

Indiana University Bloomington

Dawn Iacobucci

Vanderbilt University - Marketing; Vanderbilt University - Marketing

Date Written: 2004

Abstract

This research presents the inferential statistics for Cronbach’s coefficient alpha on the basis of the standard statistical assumption of multivariate normality. The estimation of alpha’s standard error (ASE) and confidence intervals are described, and the authors analytically and empirically nvestigate the effects of the components of these equations. The authors then demonstrate the superiority of this estimate compared with previous derivations of ASE in a separate Monte Carlo simulation. The authors also present a sampling error and test statistic for a test of independent sample alphas. They conclude with a recommendation that all alpha coefficients be reported in conjunction with standard error or confidence interval estimates and offer SAS and SPSS programming codes for easy implementation.

Suggested Citation

Duhachek, Adam and Iacobucci, Dawn and Iacobucci, Dawn, Alpha's Standard Error (ASE): An Accurate and Precise Confidence Interval Estimate (2004). Journal of Applied Psychology 2004, Vol. 89, No. 5, 792-808, Available at SSRN: https://ssrn.com/abstract=2693268

Adam Duhachek (Contact Author)

Indiana University Bloomington ( email )

Dept of Biology
100 South Indiana Ave.
Bloomington, IN 47405
United States

Dawn Iacobucci

Vanderbilt University - Marketing ( email )

Nashville, TN 37203
United States

Vanderbilt University - Marketing ( email )

Nashville, TN 37203
United States

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