Dataset Information

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

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.

SUBMITTER: Chien TW

PROVIDER: S-EPMC3101159 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

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Publications

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

Chien Tsair-Wei TW Lai Wen-Pin WP Lu Chih-Wei CW Wang Weng-Chung WC Chen Shih-Chung SC Wang Hsien-Yi HY Su Shih-Bin SB

BMC medical research methodology 20110417

<h4>Background</h4>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.<h4>Methods</h4>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 hospi ...[more]

PMID: 21496311

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Project description:BackgroundJob satisfaction of staff is an essential outcome variable in research when describing the work environment of successful hospitals. Numerous studies have evaluated the topic, but few previous studies have assessed the job satisfaction of all staff in hospital settings. It is important to discover if there are any unsatisfied groups of people working in hospitals, the aspects they are unsatisfied with and why. The aim of this study was to evaluate job satisfaction of all staff working at a Finnish university hospital, identify differences in job satisfaction between staff groups, and explore the relationship between their self-evaluated quality of work and job satisfaction.MethodsData were collected from 1424 employees of the hospital using the web-based Kuopio University Job Satisfaction Scale survey instrument in autumn 2010. The research data were analysed by using SPSS 19.0 for Windows. Frequency and percentage distributions, as well as mean values, were used to describe the data. A non-parametric test (Kruskal-Wallis test) was used to determine the significance of differences in scores between different groups of staff members and between quality evaluations.ResultsThe overall job satisfaction of the employees was good. They rated both motivating factors of their work and work welfare as excellent. The areas causing most dissatisfaction were work demands and participation in decision making. Physicians formed the most satisfied group, nurses and maintenance staff were the least satisfied, and office and administrative staff were fairly satisfied. Staff who rated the quality of work in their units as high usually also considered their job satisfaction to be excellent.ConclusionsEvery staff member has an influence on job satisfaction in her/his unit. A culture of participation should be developed and maintained in the units and the whole hospital to ensure that all staff feel they play important roles in the hospital. A university hospital is a complex, continuously changing work environment. Managers of the hospital should continuously evaluate job satisfaction and quickly react to the results gained.

Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

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