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A Proposed Measure Of Internal Consistency Reliablilty: Coefficient L-alpha
Publications
  • Todd C. Headrick, Southern Illinois University Carbondale
  • Yanyan Sheng, Southern Illinois University Carbondale
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Published in Behaviormetrika, Vol. 40, No. 1, pp. 57-68

Publication Date
1-1-2013
Abstract

Data sets in the social and behavioral sciences are often heavy-tailed. Previous studies have demonstrated that small samples or leptokurtic distributions adversely affect the performance of coefficient alpha. To address these concerns, we propose an alternative estimator of reliability based on L-comoments. The empirical results of this study demonstrate that when sample sizes are small and distributions are heavy-tailed that the proposed coefficient L-alpha has substantial advantages over Cronbach’s estimator of reliability in terms of relative bias and relative standard error.

Citation Information
Todd C. Headrick and Yanyan Sheng. "A Proposed Measure Of Internal Consistency Reliablilty: Coefficient L-alpha" (2013)
Available at: http://works.bepress.com/todd_headrick/11/