Applying Confidence Intervals to Coefficient Alpha

ABSTRACT - We present the inferential statistics for Cronbach’s Coefficient Alpha. This index of reliability is extremely important in marketing research. The estimation of alpha and the confidence intervals is described, and we illustrate the effects on these statistics of their components, including the number of items, the item intercorrelations, and sample size. We offer SAS programming code for easy implementation.

Citation:

Dawn Iacobucci and Adam Duhachek (2003) ,"Applying Confidence Intervals to Coefficient Alpha", in E - European Advances in Consumer Research Volume 6, eds. Darach Turley and Stephen Brown, Provo, UT : Association for Consumer Research, Pages: 175.

European Advances in Consumer Research Volume 6, 2003      Page 175

APPLYING CONFIDENCE INTERVALS TO COEFFICIENT ALPHA

Dawn Iacobucci, Northwestern University, USA

Adam Duhachek, Northwestern University, USA

ABSTRACT -

We present the inferential statistics for Cronbach’s Coefficient Alpha. This index of reliability is extremely important in marketing research. The estimation of alpha and the confidence intervals is described, and we illustrate the effects on these statistics of their components, including the number of items, the item intercorrelations, and sample size. We offer SAS programming code for easy implementation.

Acknowledgement

The authors are grateful to Professor van Zyl for his thoughtful and encouraging correspondence.

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