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Measuring educational leadership in Singapore: re-examining the psychometric properties of the Multifactor Leadership Questionnaire

INTRODUCTION: The Multifactor Leadership Questionnaire (MLQ-5X) has been used frequently to assess leadership in different settings. Despite its popularity, there are many critiques of the MLQ-5X such as its questionable multidimensional structure, lack of connection to the theory and the different...

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Autores principales: Wang, John Chee Keng, Liu, Woon Chia, Kee, Ying Hwa, Ng, Betsy, Chua, Lilian, Hu, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690820/
https://www.ncbi.nlm.nih.gov/pubmed/38046122
http://dx.doi.org/10.3389/fpsyg.2023.1280038
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author Wang, John Chee Keng
Liu, Woon Chia
Kee, Ying Hwa
Ng, Betsy
Chua, Lilian
Hu, Liang
author_facet Wang, John Chee Keng
Liu, Woon Chia
Kee, Ying Hwa
Ng, Betsy
Chua, Lilian
Hu, Liang
author_sort Wang, John Chee Keng
collection PubMed
description INTRODUCTION: The Multifactor Leadership Questionnaire (MLQ-5X) has been used frequently to assess leadership in different settings. Despite its popularity, there are many critiques of the MLQ-5X such as its questionable multidimensional structure, lack of connection to the theory and the different factor structures of the measurement tool. The purpose of this study was to re-examine the psychometric properties of the MLQ-5X in the Singapore educational context using two datasets. METHODS: A total of 872 teachers (40.1% male and 59.9% female) from 20 secondary schools in Singapore completed two sets of MLQ-5X, one set for their immediate reporting officer and one set for their school leaders. RESULTS: Congeneric Confirmatory Factor Analysis, Rho’s coefficients, and AVE were used to analyze MLQ-5X’s convergent validity and internal consistency. After five items were deleted, the MLQ-5X showed acceptable internal consistency and convergent validity. Eight measurement models were tested with the original 36 items and the reduced items MLQ-5X. Latent factor correlation matrix with confidence intervals was used to assess the discriminant validity of the MLQ-5X. The results provided support for a nine first-order factors and three second-order factors model (transformation [IIA, IIB, IM, IS, IC, CR], transactional (MBEA), and non-leadership (MBEP and LF). DISCUSSION: The discriminant validity of the hierarchical measurement model of MLQ-5X is supported using dataset 2.
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spelling pubmed-106908202023-12-02 Measuring educational leadership in Singapore: re-examining the psychometric properties of the Multifactor Leadership Questionnaire Wang, John Chee Keng Liu, Woon Chia Kee, Ying Hwa Ng, Betsy Chua, Lilian Hu, Liang Front Psychol Psychology INTRODUCTION: The Multifactor Leadership Questionnaire (MLQ-5X) has been used frequently to assess leadership in different settings. Despite its popularity, there are many critiques of the MLQ-5X such as its questionable multidimensional structure, lack of connection to the theory and the different factor structures of the measurement tool. The purpose of this study was to re-examine the psychometric properties of the MLQ-5X in the Singapore educational context using two datasets. METHODS: A total of 872 teachers (40.1% male and 59.9% female) from 20 secondary schools in Singapore completed two sets of MLQ-5X, one set for their immediate reporting officer and one set for their school leaders. RESULTS: Congeneric Confirmatory Factor Analysis, Rho’s coefficients, and AVE were used to analyze MLQ-5X’s convergent validity and internal consistency. After five items were deleted, the MLQ-5X showed acceptable internal consistency and convergent validity. Eight measurement models were tested with the original 36 items and the reduced items MLQ-5X. Latent factor correlation matrix with confidence intervals was used to assess the discriminant validity of the MLQ-5X. The results provided support for a nine first-order factors and three second-order factors model (transformation [IIA, IIB, IM, IS, IC, CR], transactional (MBEA), and non-leadership (MBEP and LF). DISCUSSION: The discriminant validity of the hierarchical measurement model of MLQ-5X is supported using dataset 2. Frontiers Media S.A. 2023-11-17 /pmc/articles/PMC10690820/ /pubmed/38046122 http://dx.doi.org/10.3389/fpsyg.2023.1280038 Text en Copyright © 2023 Wang, Liu, Kee, Ng, Chua and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Wang, John Chee Keng
Liu, Woon Chia
Kee, Ying Hwa
Ng, Betsy
Chua, Lilian
Hu, Liang
Measuring educational leadership in Singapore: re-examining the psychometric properties of the Multifactor Leadership Questionnaire
title Measuring educational leadership in Singapore: re-examining the psychometric properties of the Multifactor Leadership Questionnaire
title_full Measuring educational leadership in Singapore: re-examining the psychometric properties of the Multifactor Leadership Questionnaire
title_fullStr Measuring educational leadership in Singapore: re-examining the psychometric properties of the Multifactor Leadership Questionnaire
title_full_unstemmed Measuring educational leadership in Singapore: re-examining the psychometric properties of the Multifactor Leadership Questionnaire
title_short Measuring educational leadership in Singapore: re-examining the psychometric properties of the Multifactor Leadership Questionnaire
title_sort measuring educational leadership in singapore: re-examining the psychometric properties of the multifactor leadership questionnaire
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690820/
https://www.ncbi.nlm.nih.gov/pubmed/38046122
http://dx.doi.org/10.3389/fpsyg.2023.1280038
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