Buy this Article for $10.95

Have a coupon or promotional code? Enter it here:

When you buy this you'll get access to the ePub version, a downloadable PDF, and the ability to print the full article.

Keywords

factor analysis, job satisfaction, McCloskey/Mueller Satisfaction Scale, psychometric testing

 

Authors

  1. Tourangeau, Ann E.
  2. McGillis Hall, Linda
  3. Doran, Diane M.
  4. Petch, Teresa

Abstract

Background: Originally developed to rank rewards that nurses value and that encourage them to remain in their jobs, the McCloskey/Mueller Satisfaction Scale (MMSS) is being used extensively in research and practice to measure nurse job satisfaction. Since its original development in 1990, limited evidence of psychometric properties of the MMSS has been reported.

 

Objective: To investigate and report the psychometric properties of the MMSS when used in 2003 to measure hospital nurse job satisfaction.

 

Methods: Data from a survey of 8,456 nurses were used to establish psychometric properties of the MMSS. Dimensionality was tested using confirmatory and exploratory factor analyses. Validity of new MMSS factors was tested by investigating relationships of the new factors with theoretically related concepts and by testing ability of the new factors to predict nurses' intentions to remain employed in their hospitals. Reliability coefficients of the new factors are reported.

 

Results: The original eight factors could not be replicated satisfactorily using confirmatory factor analysis. Exploratory factor analysis found a seven-factor model rather than the original eight factors previously reported. Validity of this new model was supported. However, similar to the original instrument, weak internal consistency reliability coefficients were found for three of the new MMSS factors.

 

Discussion: From a research perspective, using an instrument with 23 items that measure 7 aspects of nurse job satisfaction is more desirable than an instrument with 31 items. However, MMSS items must be redeveloped to improve internal consistency of factors.