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Title: Using Hierarchical Item Clustering to Establish the Dimensionality of the Multifactor Leadership Questionnaire
Contributor(s): Muchiri, Michael K (author); Cooksey, Ray W  (author)
Publication Date: 2010
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Abstract: This paper illustrates some benefits of using hierarchical item clustering (ICLUST) as an alternative analytical procedure for establishing the dimensionality and homogeneity of the multifactor leadership questionnaire, a scale widely used for measuring leadership behaviours. We used ICLUST analysis to analyse data from 177 local councils' employees. Our findings suggest that ICLUST analysis established first-order clusters of the leadership research construct that had equivalent comparisons to factors found through confirmatory factor analysis and reported in extant literature. Theoretical and practical implications for using ICLUST are discussed.
Publication Type: Journal Article
Source of Publication: International Journal of Organisational Behaviour, 15(1), p. 1-14
Publisher: University of Southern Queensland
Place of Publication: Queensland, Australia
ISSN: 1440-5377
Field of Research (FOR): 150311 Organisational Behaviour
150310 Organisation and Management Theory
170110 Psychological Methodology, Design and Analysis
Socio-Economic Outcome Codes: 910402 Management
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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