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The ‘goodness-of-fit’ of fit models: creating a multidimensional survey for person-organisation and person-group fit in health care

BACKGROUND: Person-environment fit, which examines the individual’s perceptions of if, and in what way, he or she is compatible with aspects of the work context, offers a promising conceptual model for understanding employees and their interactions in health care environments. There are numerous pot...

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Autores principales: Herkes, J., Ellis, L. A., Churruca, K., Braithwaite, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275356/
https://www.ncbi.nlm.nih.gov/pubmed/32503435
http://dx.doi.org/10.1186/s12874-020-01033-8
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author Herkes, J.
Ellis, L. A.
Churruca, K.
Braithwaite, J.
author_facet Herkes, J.
Ellis, L. A.
Churruca, K.
Braithwaite, J.
author_sort Herkes, J.
collection PubMed
description BACKGROUND: Person-environment fit, which examines the individual’s perceptions of if, and in what way, he or she is compatible with aspects of the work context, offers a promising conceptual model for understanding employees and their interactions in health care environments. There are numerous potential ways an individual feels they “fit” with their environment. The construct was first noted almost thirty years ago, yet still remains elusive. Feelings of fit with one’s environment are typically measured by surveys, but current surveys encompass only a subset of the different components of fit, which may limit the conclusions drawn. Further, these surveys have rarely been conducted in a focused way in health care settings. METHOD: This article describes the development of a multidimensional survey tool to measure fit in relation to the person’s work group (termed person-group (P-G) fit) and their organisation (person-organisation (P-O) fit). The participants were mental health care employees, volunteers, and university interns (n = 213 for P-O fit; n = 194 for P-G fit). Confirmatory Factor Analyses (CFAs) were conducted using LISREL. RESULTS: Valid and reliable sub-scales were found. CONCLUSION: This advanced multidimensional survey tool can be used to measure P-O and P-G fit, and illuminates new information about the theoretical structure of the fit construct.
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spelling pubmed-72753562020-06-08 The ‘goodness-of-fit’ of fit models: creating a multidimensional survey for person-organisation and person-group fit in health care Herkes, J. Ellis, L. A. Churruca, K. Braithwaite, J. BMC Med Res Methodol Research Article BACKGROUND: Person-environment fit, which examines the individual’s perceptions of if, and in what way, he or she is compatible with aspects of the work context, offers a promising conceptual model for understanding employees and their interactions in health care environments. There are numerous potential ways an individual feels they “fit” with their environment. The construct was first noted almost thirty years ago, yet still remains elusive. Feelings of fit with one’s environment are typically measured by surveys, but current surveys encompass only a subset of the different components of fit, which may limit the conclusions drawn. Further, these surveys have rarely been conducted in a focused way in health care settings. METHOD: This article describes the development of a multidimensional survey tool to measure fit in relation to the person’s work group (termed person-group (P-G) fit) and their organisation (person-organisation (P-O) fit). The participants were mental health care employees, volunteers, and university interns (n = 213 for P-O fit; n = 194 for P-G fit). Confirmatory Factor Analyses (CFAs) were conducted using LISREL. RESULTS: Valid and reliable sub-scales were found. CONCLUSION: This advanced multidimensional survey tool can be used to measure P-O and P-G fit, and illuminates new information about the theoretical structure of the fit construct. BioMed Central 2020-06-05 /pmc/articles/PMC7275356/ /pubmed/32503435 http://dx.doi.org/10.1186/s12874-020-01033-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Herkes, J.
Ellis, L. A.
Churruca, K.
Braithwaite, J.
The ‘goodness-of-fit’ of fit models: creating a multidimensional survey for person-organisation and person-group fit in health care
title The ‘goodness-of-fit’ of fit models: creating a multidimensional survey for person-organisation and person-group fit in health care
title_full The ‘goodness-of-fit’ of fit models: creating a multidimensional survey for person-organisation and person-group fit in health care
title_fullStr The ‘goodness-of-fit’ of fit models: creating a multidimensional survey for person-organisation and person-group fit in health care
title_full_unstemmed The ‘goodness-of-fit’ of fit models: creating a multidimensional survey for person-organisation and person-group fit in health care
title_short The ‘goodness-of-fit’ of fit models: creating a multidimensional survey for person-organisation and person-group fit in health care
title_sort ‘goodness-of-fit’ of fit models: creating a multidimensional survey for person-organisation and person-group fit in health care
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275356/
https://www.ncbi.nlm.nih.gov/pubmed/32503435
http://dx.doi.org/10.1186/s12874-020-01033-8
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