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Updated: Oct 24, 2025

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Published on: December 6, 2024

Assessing the Job Satisfaction of Registered Nurses Using Sentiment Analysis and Clustering Analysis.

Matthew Jura^1,2, Joanne Spetz², Der-Ming Liou³

¹National Yang Ming Chiao Tung University, Taipei, Taiwan.

Medical Care Research and Review : MCRR

|August 12, 2021

Summary

This study analyzed registered nurses' (RNs) job satisfaction using survey data. Key factors influencing RN satisfaction included workload, staffing levels, and colleague support.

Keywords:

California job satisfaction nursing qualitative analysis quantitative analysis sentiment analysis

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Last Updated: Oct 24, 2025

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Published on: December 6, 2024

Area of Science:

Nursing
Occupational Health
Data Science

Background:

Job satisfaction is crucial for healthcare professionals.
Assessing job satisfaction often involves surveys with structured and open-ended questions.

Purpose of the Study:

To examine the job satisfaction of registered nurses (RNs).
To identify distinct groups of RN job satisfaction.
To correlate sentiment analysis of comments with satisfaction levels.

Main Methods:

Clustering analysis of structured survey items from 24,543 RNs.
Sentiment analysis of free-text comments from California Board of Registered Nursing biennial surveys.
Bivariate and multivariate statistical analyses.

Main Results:

Three job satisfaction clusters were identified: low, medium, and high.
Sentiment analysis scores significantly correlated with the identified job satisfaction groups.
Workload, clerical support, RN staffing adequacy, and RN colleague skills were primary drivers of satisfaction differences.

Conclusions:

RN job satisfaction is multi-faceted, influenced by workload, support systems, and peer competence.
Sentiment analysis provides a valuable complement to structured data in understanding RN job satisfaction.
Targeted interventions addressing workload and staffing may improve RN job satisfaction.