RESUMEN
BACKGROUND: Colleges and universities are becoming increasingly accountable for teaching outcomes in order to meet rigorous accreditation standards. Job satisfaction (JS) seems more difficult to measure in the academic field in view of the complexity of roles, duties and responsibilities. OBJECTIVES: To compile and determine the psychometric properties of a proposed Academic Job Satisfaction Questionnaire (AJSQ) suitable for university faculty, and amenable to future upgrading. MATERIALS AND METHODS: A 46-item five-option Likert-type draft questionnaire on JS was distributed for anonymous self-reporting by all the academic staff of five colleges in University of Dammam (n=340). The outcome measures were (1) factor analysis of the questionnaire items, (2) intra-factor α-Coefficient of Internal Consistency Reliability, (3) inter-factor correlations, (4) comparison of psychometric properties in separately analyzed main faculty subgroups. RESULTS: The response rate was 72.9 percent. Factor analysis extracted eight factors which conjointly explained 60.3 percent of the variance in JS. These factors, in descending order of eigenvalue, were labeled "Authority", "Supervision", "Policies and Facilities", "My Work Itself", "Interpersonal Relationships", "Commitment", "Salary" and "Workload". Cronbach's-α ranged from 0.90 in Supervision to 0.63 in Salary and Workload. All inter-factor correlations were positive and significant, ranging from 0.65 to 0.23. The psychometric properties of the instrument in separately analyzed subgroups divided by sex, nationality, college and clinical duties produced fairly comparable findings. CONCLUSION: The AJSQ demonstrated good overall psychometric properties in terms of construct validity and internal consistency reliability in both the overall sample and its separately analyzed subgroups. RECOMMENDATION: To replicate these findings in larger multicenter samples of academic staff.
RESUMEN
BACKGROUND: Job satisfaction is a major determinant of job performance, manpower retention and employee well-being. OBJECTIVES: To explore the state of job satisfaction among the academic staff of King Faisal University - Dammam (KFU-D), and detect the areas and groups at a higher risk of being dissatisfied. METHOD: A fully-structured 5-option Likert-type Job Satisfaction Questionnaire (JSQ) composed of an evaluative item and eleven domains making a total of 46 items was used. It was distributed by internal mail to all the 340 academic staff, 248 of whom returned completed questionnaires (response rate = 72.9 %). FINDINGS: The overall mean Job Satisfaction Rate (JSR) was 73.6 %. The highest JSR's were found in three domains ("Supervision", "Responsibility", and "Interpersonal Relationships"), and the lowest in four others ("Salary", "My Work Itself", "Working Conditions", and "Advancement"). The JSR was significantly lower among Saudi nationals, females, those below age 40, those from clinical medical and Dentistry departments. Multiple Regression identified six independent variables which conjointly explained 25 % of the variance in job satisfaction (p < 0.0001). These were: being an expatriate, above the age of 50, serving the university for less than one or more than ten years, and, not from a clinical department of Medicine or Dentistry. CONCLUSIONS: Most staff were satisfied with many aspects of their jobs, but there was significant dissatisfaction with several job-related aspects and demographic features. Appropriate interventions are indicated. Further studies are needed to confirm the present findings and to monitor future trends.
