Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/10658
Author(s): Parreira, P.
Lopes, A.
Salgueiro, M. F.
Carvalho, C.
Salgueiro-Oliveira, A.
Castilho, A.
Mónico, L.
Sena, C. A.
Fonseca, C.
Date: 2015
Title: Quinn’s leadership roles: a confirmatory factor analysis study in Portuguese health services
Volume: 1
Number: 2
Pages: 192 - 217
ISSN: 2183-6663
DOI (Digital Object Identifier): 10.24902/r.riase.2015.1(2).192
Keywords: Leadership
Quinn’s competing values framework
Quinn’s CVF questionnaire
health services
Abstract: Purpose: To assess the psychometric properties of Quinn’s leadership questionnaire (CFV questionnaire; 1988) in Portuguese health services. Design: Cross-sectional study, using Quinn’s leadership questionnaire, administered to registered nurses and physicians in Portuguese health services (N = 687). Method: Self-administered survey applied to two samples. In the first sample (convenience; N = 249 Portuguese health professionals), exploratory factor and reliability analyses were performed to the CFV questionnaire. In the second sample (stratified; N = 50 surgical units of 33 Portuguese hospitals), confirmatory factor analyses were performed using LISREL 8.80. Findings: In the first sample, an eight-factor solution emerged accounting for 65.46% of the total variance, in an interpretable factor structure (loadings> .50), with Cronbach’s ? greater than .79. This factor structure, replicated in the second sample, showed reasonable goodness-of-fit of the model to each of the leadership roles, that is, to the eight quadrants and global model. Overall, the models showed nomological validity, with scores between good and acceptable (.235 < x2/df < 2.055 and .00 < RMSEA < .077). Conclusions: Quinn’s leadership questionnaire showed good reliability and validity for the eight leadership roles, proving to be suitable for use in health care/hospital settings.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:BRU-RN - Artigos em revistas científicas nacionais com arbitragem científica

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