Literature DB >> 27160058

Psychometric evaluation of the McCloskey/Mueller Satisfaction Scale.

Seung Eun Lee1, Susan V Dahinten2, Maura MacPhee2.   

Abstract

AIM: The aim of the study was to evaluate and refine the eight-factor structure of the 31 item McCloskey/Mueller Satisfaction Scale, which is one of the most widely used scales for measuring job satisfaction among nurses. However, this scale was developed in 1990 for the American nursing context and its psychometric validity and utility for use with non-American nurse populations have been questioned by various researchers.
BACKGROUND: The eight-factor, 31-item McCloskey/Mueller Satisfaction Scale is one of the most widely used scales for measuring job satisfaction among nurses. However, this scale was developed in 1990 for the American nursing context, and its psychometric validity and utility for use with non-American nurse populations have been questioned by various researchers.
METHODS: Data from a sample of 1007 Canadian nurses who were working in hospital and community settings were analyzed by using an exploratory factor analysis with varimax rotation.
RESULTS: The original factor structure of the McCloskey/Mueller Satisfaction Scale was unable to be replicated. The best-fitting model that was obtained was a five-factor model with 25 items. The Cronbach's alphas for the new McCloskey/Mueller Satisfaction Scale subscales ranged from 0.71 to 0.87, which indicated stronger internal consistency than the original subscales (α = 0.52-0.84).
CONCLUSION: The reliability and structural validity of the revised 25 item instrument suggest that it is a potentially sound tool for measuring nurses' job satisfaction. As a result of its sound dimensionality, it could be particularly useful when investigating individual and work factors that impact nurse job satisfaction or when evaluating the outcomes of organizational interventions that are aimed at increasing job satisfaction.
© 2016 Japan Academy of Nursing Science.

Keywords:  McCloskey/Mueller Satisfaction Scale; factor analysis; job satisfaction; psychometric evaluation

Mesh:

Year:  2016        PMID: 27160058     DOI: 10.1111/jjns.12128

Source DB:  PubMed          Journal:  Jpn J Nurs Sci        ISSN: 1742-7924            Impact factor:   1.418


  3 in total

1.  Factors influencing quality of life and work of male nurses in Hainan Province: logistic regression analysis.

Authors:  Yan Zou; Haiyan Wang; Yedan Chen; Hai Xie; Yingyao Chen; Guangwei Wang
Journal:  Am J Transl Res       Date:  2022-04-15       Impact factor: 3.940

2.  Modelling job support, job fit, job role and job satisfaction for school of nursing sessional academic staff.

Authors:  Leanne S Cowin; Robyn Moroney
Journal:  BMC Nurs       Date:  2018-05-24

3.  Correlation between the quality of nursing handover, job satisfaction, and group cohesion among psychiatric nurses.

Authors:  Bin Wang; Guiyuan Zou; Mei Zheng; Chen Chen; Weiyu Teng; Qinghua Lu
Journal:  BMC Nurs       Date:  2022-04-11
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.