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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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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 |
Sumario: | 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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