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

Tsair Wei CHIEN, Wen Pin LAI, Chih Wei LU, Wen Chung WANG, Shih Chung CHEN, Hsien Yi WANG, Shih Bin SU

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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. Copyright © 2011 Chien et al; licensee BioMed Central Ltd.
Original languageEnglish
Article number47
JournalBMC Medical Research Methodology
Volume11
DOIs
Publication statusPublished - Dec 2011

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Job Satisfaction
Workplace
Penicillin G
Internet
Surveys and Questionnaires

Citation

Chien, T.-W., Lai, W.-P., Lu, C.-W., Wang, W.-C., Chen, S.-C., Wang, H.-Y., & Su, S.-B. (2011). Web-based computer adaptive assessment of individual perceptions of job satisfaction for hospital workplace employees. BMC Medical Research Methodology, 11, Article 47.