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Using hierarchical item clustering to establish the dimensionality of the multifactor leadership questionnaire
conference contributionposted on 2017-12-06, 00:00 authored by Michael MuchiriMichael Muchiri, R Cooksey
This 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.
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
Parent TitleProceedings of 24th Annual Australian and New Zealand Academy of Management : Managing for the unknowable futures, ANZAM, Adelaide Convention Centre, Adelaide, S.A.
Number of Pages20
Place of PublicationSydney, N.S.W.
External Author AffiliationsFaculty of Arts, Business, Informatics and Education; Institute for Health and Social Science Research (IHSSR); University of New England;
Name of ConferenceAustralian and New Zealand Academy of Management. International Conference