Thanks Coefficient Alpha, We Still Need You!

2017/08/31 by Tenko Raykov, George A. Marcoulides · 31 citations
Decision Sciences · Mathematics · #Scientific Measurement and Uncertainty Evaluation #Advanced Statistical Process Monitoring #Advanced Statistical Methods and Models

paper · pdf · doi:10.1177/0013164417725127

Abstract

This note discusses the merits of coefficient alpha and their conditions in light of recent critical publications that miss out on significant research findings over the past several decades. That earlier research has demonstrated the empirical relevance and utility of coefficient alpha under certain empirical circumstances. The article highlights the fact that as an index aimed at informing about multiple-component measuring instrument reliability, coefficient alpha is dependable then as a reliability estimator. Therefore, alpha should remain in service when these conditions are fulfilled and not be abandoned.

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