Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/8824
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
Handle Link: https://hdl.handle.net/1959.11/8824
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. Current 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: Conference Publication
Conference Name: Australian New Zealand Academy of Management (ANZAM) 24th Annual Conference: Managing for Unknowable Futures, Adelaide, Australia, 6th - 10th December, 2010
Conference Details: Australian New Zealand Academy of Management (ANZAM) 24th Annual Conference: Managing for Unknowable Futures, Adelaide, Australia, 6th - 10th December, 2010
Source of Publication: Proceedings of the 24th Australian and New Zealand Academy of Management Conference
Publisher: ANZAM: Australian and New Zealand Academy of Management
Place of Publication: Australia
Field of Research (FOR): 150311 Organisational Behaviour
Socio-Economic Outcome Codes: 910402 Management
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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