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Open Access Research article

Web-based computer adaptive assessment of individual perceptions of job satisfaction for hospital workplace employees

Tsair-Wei Chien12, Wen-Pin Lai3, Chih-Wei Lu4, Weng-Chung Wang5, Shih-Chung Chen6, Hsien-Yi Wang78 and Shih-Bin Su69*

Author Affiliations

1 Department of Management, Chi-Mei Medical Center, Tainan, Taiwan

2 Department of Hospital and Health Care Administration, Chia-Nan University of Pharmacy and Science, Tainan, Taiwan

3 Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan

4 Department of Industrial and Systems Engineering, Chung Yuan Christian University, Chung Li, Taiwan

5 Assessment Research Center, The Hong Kong Institute of Education, Hong Kong, China

6 Institute of Biomedical Engineering, Southern Taiwan University, Tainan, Taiwan

7 Division of Nephrology, Department of Medicine; Chi-Mei Medical Center, Tainan, Taiwan

8 Department of Sports Management, College of Leisure and Recreation Management, Chia Nan University of Pharmacy and Science, Tainan, Taiwan

9 Department of Family Medicine, Chi-Mei Medical Center, Tainan, Taiwan

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BMC Medical Research Methodology 2011, 11:47  doi:10.1186/1471-2288-11-47

Published: 17 April 2011

Abstract

Background

To develop a web-based computer adaptive testing (CAT) application for efficiently collecting data regarding workers' perceptions of job satisfaction, we examined whether a 37-item Job Content Questionnaire (JCQ-37) could evaluate the job satisfaction of individual employees as a single construct.

Methods

The JCQ-37 makes data collection via CAT on the internet easy, viable and fast. A Rasch rating scale model was applied to analyze data from 300 randomly selected hospital employees who participated in job-satisfaction surveys in 2008 and 2009 via non-adaptive and computer-adaptive testing, respectively.

Results

Of the 37 items on the questionnaire, 24 items fit the model fairly well. Person-separation reliability for the 2008 surveys was 0.88. Measures from both years and item-8 job satisfaction for groups were successfully evaluated through item-by-item analyses by using t-test. Workers aged 26 - 35 felt that job satisfaction was significantly worse in 2009 than in 2008.

Conclusions

A Web-CAT developed in the present paper was shown to be more efficient than traditional computer-based or pen-and-paper assessments at collecting data regarding workers' perceptions of job content.