摘要
Job satisfaction is a critical component of the professional work environment and is often ascertained through surveys that include structured or open-ended questions. Using data from 24,543 respondents to California Board of Registered Nursing biennial surveys, this study examines the job satisfaction of registered nurses (RNs) by applying clustering analysis to structured job satisfaction items and sentiment analysis to free-text comments. The clustering analysis identified three job satisfaction groups (low, medium, and high satisfaction). Sentiment analysis scores were significantly associated with the job satisfaction groups in both bivariate and multivariate analyses. Differences between the job satisfaction clusters were mostly driven by satisfaction with workload, adequacy of the clerical support services, adequacy of the number of RN staff, and skills of RN colleagues. In addition, there was dispersion in satisfaction related to involvement in management and policy decisions, recognition for a job well done, and opportunities for professional development.
原文 | 英語 |
---|---|
頁(從 - 到) | 585-593 |
頁數 | 9 |
期刊 | Medical Care Research and Review |
卷 | 79 |
發行號 | 4 |
DOIs | |
出版狀態 | 已發佈 - 8月 2022 |
ASJC Scopus subject areas
- 健康政策
指紋
深入研究「Assessing the Job Satisfaction of Registered Nurses Using Sentiment Analysis and Clustering Analysis」主題。共同形成了獨特的指紋。資料集
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Assessing the Job Satisfaction of Registered Nurses Using Sentiment Analysis and Clustering Analysis
Jura, M. (Creator), Spetz, J. (Creator) & Liou, D.-M. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.c.5573300.v1, https://sage.figshare.com/collections/Assessing_the_Job_Satisfaction_of_Registered_Nurses_Using_Sentiment_Analysis_and_Clustering_Analysis/5573300/1
資料集: Dataset
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sj-pdf-1-mcr-10.1177_10775587211035292 – Supplemental material for Assessing the Job Satisfaction of Registered Nurses Using Sentiment Analysis and Clustering Analysis
Jura, M. (Creator), Spetz, J. (Creator) & Liou, D.-M. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.15455840.v1, https://sage.figshare.com/articles/journal_contribution/sj-pdf-1-mcr-10_1177_10775587211035292_Supplemental_material_for_Assessing_the_Job_Satisfaction_of_Registered_Nurses_Using_Sentiment_Analysis_and_Clustering_Analysis/15455840/1
資料集: Dataset