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适配模型的“适配度”:为医疗保健中的人与组织适配和人与群体适配创建多维调查。

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

机构信息

Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, Macquarie Park, Australia.

出版信息

BMC Med Res Methodol. 2020 Jun 5;20(1):144. doi: 10.1186/s12874-020-01033-8.

Abstract

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.

摘要

背景

人-环境匹配,考察个人对其与工作环境的各个方面是否兼容以及在何种程度上兼容的看法,为理解员工及其在医疗保健环境中的相互作用提供了一个有前途的概念模型。个人可能有许多种感觉自己与环境“匹配”的方式。这一概念最早在近三十年前就被提出,但至今仍难以捉摸。人们对环境的适应感通常通过调查来衡量,但目前的调查只涵盖了适应感的不同组成部分中的一部分,这可能限制了结论的得出。此外,这些调查在医疗保健环境中很少以集中的方式进行。

方法

本文介绍了一种多维调查工具的开发,用于衡量与个人工作群体(称为人与群体(P-G)匹配)和组织(人与组织(P-O)匹配)相关的匹配程度。参与者是心理健康护理人员、志愿者和大学实习生(P-O 匹配的 n=213;P-G 匹配的 n=194)。使用 LISREL 进行验证性因子分析(CFA)。

结果

发现了有效且可靠的子量表。

结论

这种先进的多维调查工具可用于衡量 P-O 和 P-G 匹配程度,并提供有关适应结构理论的新信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae93/7275356/e1ec069d9328/12874_2020_1033_Fig1_HTML.jpg

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