Coefficient Beta and Hierarchical Item Clustering
建议在管理研究中使用Revelle的系数贝塔和ICLUST项目聚类程序，与克朗巴赫系数一起评估总和量表的维度性和内部同质性，并通过实例展示了该方法比传统主成分分析更清晰。
Summated scales are widely used in management research to measure constructs such as job satisfaction and organizational commitment. This article suggests that Revelle’s (1979) coefficient beta, implemented in Revelle’s (1978) ICLUST item-clustering procedure, should be used in conjunction with Cronbach’s coefficient alpha measure of internal consistency as criteria for judging the dimensionality and internal homogeneity of summated scales. The approach is demonstrated using ICLUST reanalyses of sample responses to Warr’s (1990) affective well-being scale and O’Brien, Dowling, and Kabanoff’s (1978) job satisfaction scale. Coefficient beta and item clustering are shown to more clearly identify the homogeneity and internal dimensional structure of summated scale constructs than do traditional principal components analyses. Given these benefits, Revelle’s approach is a viable alternative methodology for scale construction in management, organizational, and cross-cultural contexts, especially when researchers need to make defensible choices between using whole scales or subscales.