Raykov Tenko, Marcoulides George A
Michigan State University, East Lansing, MI, USA.
University of California, Santa Barbara, CA, USA.
Educ Psychol Meas. 2019 Feb;79(1):200-210. doi: 10.1177/0013164417725127. Epub 2017 Aug 31.
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.
本笔记根据最近一些批判性出版物讨论了α系数的优点及其条件，这些出版物忽略了过去几十年的重要研究成果。早期研究已经证明了α系数在某些实证情况下的实证相关性和实用性。本文强调，作为一个旨在告知多成分测量工具可靠性的指标，α系数作为一种可靠性估计量是可靠的。因此，当这些条件得到满足时，α系数应继续使用，而不应被摒弃。
