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Rasch analysis of Stamps's Index of Work Satisfaction in nursing population

AIM: One of the most commonly used tools for measuring job satisfaction in nursing is the Stamps Index of Work Satisfaction. Several studies have reported on the reliability of the Stamps' tool based on traditional statistical model. The aim of this study was to apply the Rasch model to examine...

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Detalles Bibliográficos
Autores principales: Ahmad, Nora, Oranye, Nelson Ositadimma, Danilov, Alyona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221452/
https://www.ncbi.nlm.nih.gov/pubmed/28078097
http://dx.doi.org/10.1002/nop2.61
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author Ahmad, Nora
Oranye, Nelson Ositadimma
Danilov, Alyona
author_facet Ahmad, Nora
Oranye, Nelson Ositadimma
Danilov, Alyona
author_sort Ahmad, Nora
collection PubMed
description AIM: One of the most commonly used tools for measuring job satisfaction in nursing is the Stamps Index of Work Satisfaction. Several studies have reported on the reliability of the Stamps' tool based on traditional statistical model. The aim of this study was to apply the Rasch model to examine the adequacy of Stamps's Index of Work Satisfaction for measuring nurses' job satisfaction cross‐culturally and to determine the validity and reliability of the instrument using the Rasch criteria. DESIGN: A secondary data analysis was conducted on a sample of 556 registered nurses from two countries. METHODS: The RUMM 2030 software was used to analyse the psychometric properties of the Index of Work Satisfaction. RESULTS: The persons mean location of ‐0.018 approximated the items mean of 0.00, suggesting a good alignment of the measure and the traits being measured. However, at the items level, some items were misfiting to the Rasch model.
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spelling pubmed-52214522017-01-11 Rasch analysis of Stamps's Index of Work Satisfaction in nursing population Ahmad, Nora Oranye, Nelson Ositadimma Danilov, Alyona Nurs Open Research Articles AIM: One of the most commonly used tools for measuring job satisfaction in nursing is the Stamps Index of Work Satisfaction. Several studies have reported on the reliability of the Stamps' tool based on traditional statistical model. The aim of this study was to apply the Rasch model to examine the adequacy of Stamps's Index of Work Satisfaction for measuring nurses' job satisfaction cross‐culturally and to determine the validity and reliability of the instrument using the Rasch criteria. DESIGN: A secondary data analysis was conducted on a sample of 556 registered nurses from two countries. METHODS: The RUMM 2030 software was used to analyse the psychometric properties of the Index of Work Satisfaction. RESULTS: The persons mean location of ‐0.018 approximated the items mean of 0.00, suggesting a good alignment of the measure and the traits being measured. However, at the items level, some items were misfiting to the Rasch model. John Wiley and Sons Inc. 2016-07-27 /pmc/articles/PMC5221452/ /pubmed/28078097 http://dx.doi.org/10.1002/nop2.61 Text en © 2016 The Authors. Nursing Open published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Ahmad, Nora
Oranye, Nelson Ositadimma
Danilov, Alyona
Rasch analysis of Stamps's Index of Work Satisfaction in nursing population
title Rasch analysis of Stamps's Index of Work Satisfaction in nursing population
title_full Rasch analysis of Stamps's Index of Work Satisfaction in nursing population
title_fullStr Rasch analysis of Stamps's Index of Work Satisfaction in nursing population
title_full_unstemmed Rasch analysis of Stamps's Index of Work Satisfaction in nursing population
title_short Rasch analysis of Stamps's Index of Work Satisfaction in nursing population
title_sort rasch analysis of stamps's index of work satisfaction in nursing population
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221452/
https://www.ncbi.nlm.nih.gov/pubmed/28078097
http://dx.doi.org/10.1002/nop2.61
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