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Using hierarchical item clustering to establish the dimensionality of the multifactor leadership questionnaire

conference contribution
posted on 06.12.2017, 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.

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

1

End Page

20

Number of Pages

20

Start Date

01/01/2010

ISBN-10

1877040819

Location

Adelaide, S.A.

Publisher

Arinex

Place 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

Name of Conference

Australian and New Zealand Academy of Management. International Conference