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ERIC Number: ED423288
Record Type: Non-Journal
Publication Date: 1998-Apr
Pages: 8
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Measuring Job Satisfaction: Reliability of Subscale Analysis.
Bergstrom, Betty A.; Lunz, Mary E.
The Job Satisfaction Survey (JSS) (P. Spector, 1985 and 1992) is a 36-item survey instrument designed to measure 9 aspects of job satisfaction, including: (1) pay; (2) promotion; (3) supervision; (4) benefits; (5) contingent rewards; (6) operating procedures; (7) co-workers; (8) nature of work; and (9) communication. In addition to measuring the nine subscales, the instrument was designed to yield a measure of overall satisfaction. This paper looks at whether the survey measures job satisfaction overall, and whether differences in job satisfaction using subscale data can be determined. The JSS was administered to 706 respondents from diverse work settings and geographic locations. Data were analyzed with a Rasch rating scale model and the BIGSTEPS computer program for the entire measure and the subscales individually. Correlational data had been presented in the original validation of the survey to support the existence of distinct subscales. The Rasch rating scale analysis shows that the mean error of the person measure, person separation, and person reliability indicate that the four item subscales do not reliably separate the respondents on the subtests. The analysis also suggests that even if the subtests were longer and more reliable, it is important to take the difficulty of the items into account before comparisons across subtests can be made. (Contains two tables and six references.) (SLD)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A