Abstract
Despite a number of studies in the field of job satisfaction, there are still some problematic areas left. A question, which still lacks explanation, is whether specific sample may be evaluated using instruments which were primarily developed based on a different type of a sample than the one under research. With regard to the problematic area, we generated the purpose for our research. The purpose of the present study is to examine Job Satisfaction Survey’s (JSS) relevance for estimation of job satisfaction in teacher population. Results of the standard Confirmatory Factor Analysis of the teachers’ sample did not support the existence of 9 facets, suggesting that some of the JSS’s scales do not reflect teachers’ job satisfaction. The best model in the present study was determined to be a three facet model, including promotion, supervision and nature of work. The obtained research results, limitations and recommendations are discussed.
Highlights
The phenomenon of job satisfaction has been broadly researched, still there are several problematic areas
The purpose of the present study is to examine Job Satisfaction Survey’s (JSS) relevance for estimation of job satisfaction in teacher population
Some others refer to the facet approach (e.g. Job Descriptive Index (JDI)) or may examine both: global job satisfaction as well as its dimensions (e.g. JSS; Minnesota Satisfaction Questionnaire (MSQ)) (Spector, 1997; Fields, 2002)
Summary
The phenomenon of job satisfaction has been broadly researched, still there are several problematic areas. Paul Spector describes job satisfaction as “the extent to which people like (satisfaction) or dislike (dissatisfaction) their jobs” (Spector, 1985; Spector, 1997). Apart of those few definitions indicated above, there are many others that aim to explain the concept of job satisfaction. Job satisfaction instruments are designed in a diverse manner and may be chosen to be used depending on different purposes of the research. It makes research results incomparable and, if chosen careless, the instrument may not reflect what researchers are seeking for
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