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Using hierarchical item clustering to establish the dimensionality of the multifactor leadership questionnaire
conference contribution
posted on 2017-12-06, 00:00 authored by Michael MuchiriMichael Muchiri, R CookseyThis paper illustrates some benefits of using hierarchical item clustering (ICLUST) as an alternative analytical procedure for establishing the dimensionality and homogeneity of the multifactorleadership 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 ICLUSTanalysis 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.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Parent Title
Proceedings of 24th Annual Australian and New Zealand Academy of Management : Managing for the unknowable futures, ANZAM, Adelaide Convention Centre, Adelaide, S.A.Start Page
1End Page
20Number of Pages
20Start Date
2010-01-01ISBN-10
1877040819Location
Adelaide, S.A.Publisher
ArinexPlace of Publication
Sydney, N.S.W.Peer Reviewed
- Yes
Open Access
- No
External Author Affiliations
Faculty of Arts, Business, Informatics and Education; Institute for Health and Social Science Research (IHSSR); University of New England;Era Eligible
- Yes