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

Michael K Muchiri; Ray W Cooksey

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

Michael K Muchiri
, Ray W Cooksey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 24th Australian and New Zealand Academy of Management Conference
Editors	Bruce Gurd
Place of Publication	Brisbane, Australia
Publisher	Australian and New Zealand Academy of Management (ANZAM)
Pages	1-20
ISBN (Print)	1877040827
Publication status	Published - 2010
Event	ANZAM 2010: 24th Annual Australian New Zealand Academy of Management Conference: Managing for Unknowable Futures - Adelaide, Australia Duration: 6 Dec 2010 → 10 Dec 2010

Conference

Conference	ANZAM 2010: 24th Annual Australian New Zealand Academy of Management Conference: Managing for Unknowable Futures
City	Adelaide, Australia
Period	6/12/10 → 10/12/10

Keywords

Organisational Behaviour

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@inproceedings{e361900ae7bc43449dba755c2f096e2c,

title = "Using hierarchical item clustering to establish the dimensionality of the multifactor leadership questionnaire",

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.",

keywords = "Organisational Behaviour",

author = "Muchiri, \{Michael K\} and Cooksey, \{Ray W\}",

year = "2010",

language = "English",

isbn = "1877040827",

pages = "1--20",

editor = "Bruce Gurd",

booktitle = "Proceedings of the 24th Australian and New Zealand Academy of Management Conference",

publisher = "Australian and New Zealand Academy of Management (ANZAM)",

note = "ANZAM 2010: 24th Annual Australian New Zealand Academy of Management Conference: Managing for Unknowable Futures ; Conference date: 06-12-2010 Through 10-12-2010",

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Muchiri, MK & Cooksey, RW 2010, Using hierarchical item clustering to establish the dimensionality of the multifactor leadership questionnaire. in B Gurd (ed.), Proceedings of the 24th Australian and New Zealand Academy of Management Conference. Australian and New Zealand Academy of Management (ANZAM), Brisbane, Australia, pp. 1-20, ANZAM 2010: 24th Annual Australian New Zealand Academy of Management Conference: Managing for Unknowable Futures, Adelaide, Australia, 6/12/10. <https://hdl.handle.net/1959.11/8824>

Using hierarchical item clustering to establish the dimensionality of the multifactor leadership questionnaire. / Muchiri, Michael K; Cooksey, Ray W.
Proceedings of the 24th Australian and New Zealand Academy of Management Conference. ed. / Bruce Gurd. Brisbane, Australia: Australian and New Zealand Academy of Management (ANZAM), 2010. p. 1-20.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Using hierarchical item clustering to establish the dimensionality of the multifactor leadership questionnaire

AU - Muchiri, Michael K

AU - Cooksey, Ray W

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Organisational Behaviour

M3 - Conference contribution

SN - 1877040827

SP - 1

EP - 20

BT - Proceedings of the 24th Australian and New Zealand Academy of Management Conference

A2 - Gurd, Bruce

PB - Australian and New Zealand Academy of Management (ANZAM)

CY - Brisbane, Australia

T2 - ANZAM 2010: 24th Annual Australian New Zealand Academy of Management Conference: Managing for Unknowable Futures

Y2 - 6 December 2010 through 10 December 2010

ER -

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

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