Literature DB >> 11469145

Development of the Misener Nurse Practitioner Job Satisfaction Scale.

T R Misener1, D L Cox.   

Abstract

The purpose of this study was to construct a reliable and valid instrument to measure job satisfaction among nurse practitioners (NP). The methodological approach consisted of a literature review and modification of an extant instrument (Mueller/McCloskey, 1990) to reflect primary care, followed by augmentation and validation of the items suggested by nurse practitioner faculty members and Master's prepared nurse practitioners. A 77-item scale was developed and mailed to 413 NPs recognized by the state boards of nursing in two states. Usable returns were received from 342 (83%) NPs. Items were reviewed for validity prior to field-testing the instrument. The 77 items were subjected to exploratory factor analysis to support construct explication using the maximum likelihood method of extraction and a promax rotation. An eigenvalue cutoff of 1.0 and item-to-factor loadings of at least .35 were criteria that guided item retention. Thirty-three items were deleted. The resultant six factors were named: (a) intra-practice partnership/collegiality; (b) challenge/autonomy; (c) professional, social, and community interaction; (d) professional growth; (e) time; and (f) benefits. The six factors (subscales) produced internal consistency reliability estimates of .94, .89, .84, .86, .83, and .79, respectively. The 44 retained items were used to create the final version of the Misener Nurse Practitioner Job Satisfaction Scale (MNPJSS), with a possible maximum score of 264 using a 6-point Likert-type scale.

Mesh:

Year:  2001        PMID: 11469145

Source DB:  PubMed          Journal:  J Nurs Meas        ISSN: 1061-3749


  4 in total

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3.  Effects of Optimism on Work Satisfaction Among Nurses: A Mediation Model Through Work-Family Conflict.

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Journal:  Front Psychiatry       Date:  2021-11-25       Impact factor: 4.157

4.  Workload and quality of nursing care: the mediating role of implicit rationing of nursing care, job satisfaction and emotional exhaustion by using structural equations modeling approach.

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  4 in total

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