Please use this identifier to cite or link to this item: https://une.intersearch.com.au/unejspui/handle/1959.11/227
Title: Coefficient Beta and Hierarchical Item Clustering: An Analytical Procedure for Establishing and Displaying the Dimensionality and Homogeneity of Summated Scales
Contributor(s): Cooksey, RW (author); Soutar, GN (author)
Publication Date: 2006
DOI: 10.1177/1094428105283939
Handle Link: https://hdl.handle.net/1959.11/227
Abstract: 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.
Publication Type: Journal Article
Source of Publication: Organizational Research Methods, 9(1), p. 78-98
Publisher: Sage Publications
Place of Publication: Thousand Oaks, CA 91320
ISSN: 1094-4281
Field of Research (FOR): 150312 Organisational Planning and Management
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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