Occupational Stress, Organizational Commitment, Career Commitment, Job Satisfaction and Withdrawal Cognition Among School Teachers
Teachers form an important occupational group in the Malaysian government service. With the implementation of various educational changes and reforms in this country, teachers are experiencing higher expectations, greater responsibilities, more challenging roles, and also rising emotional and int...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English English |
| Published: |
2002
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/9280/1/FPP_2002_6_.pdf |
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| Summary: | Teachers form an important occupational group in the Malaysian government
service. With the implementation of various educational changes and reforms in this
country, teachers are experiencing higher expectations, greater responsibilities, more
challenging roles, and also rising emotional and intellectual demands. Teachers are also
facing more psychological and mental related problems, as well as emotional stress.
And as such, teaching has been labeled a stressful occupation.
This study was conducted to determine school teachers' level of occupational
stress, commitment, job satisfaction and withdrawal cognition and their relationships.
Due to the deficiency in models of teacher stress in the Malaysian context, this study
also proposed and tested a model of teacher stress which includes attitudes, specifically organizational commitment and career commitment as moderating variables as well as
organizational commitment, career commitment and job satisfaction as mediating
variables
Using questionnaires, data were obtained from 350 secondary school teachers
in the state of Negeri Sembilan, West Malaysia, selected by random sampling. The data
were used to test the hypothesized relationships. Reliability test, exploratory data
analysis (EDA), frequency and percentages, Pearson's product moment correlation,
hierarchical multiple regression analysis and structural equation modeling (path
analysis) were employed to analyse the data. |
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