Job Satisfaction among University Faculty in Khyber Pakhtunkhwa Pakistan

  • Dr. Zahid Khan Lecturer, Department of Statistics, University of Malakand, Chakdara, Dir (Lower), Pakistan
  • Najeebul Haq BS, Department of Statistics University of Malakand , Chakdara, Dir (Lower), Pakistan
  • Arshad Ali MPhil, Department of Statistics University of Malakand, Chakdara, Dir (Lower), Pakistan
Keywords: Job Satisfaction, Universities, Cluster Sampling, Logistic Regression, Significant Factors.


The current study intends to examine the job satisfaction among the government universities’ faculty in Khyber Pakhtunkhwa, Pakistan. Two stage cluster random sampling is used to identify teachers for taking information. Five clusters (universities) are selected in the first stage. Then, education departments within universities are considered as clusters in the second stage of sampling. A structure questionnaire is distributed among them. The data analysed by SPSS version 19. Analysing the job satisfaction level, we find 48% of faculty members highly satisfied.  Moreover, 33% faculty members are moderate satisfied, 13% are low satisfied, 4% are un-satisfied, and 2% are highly un-satisfied. The job satisfaction level is also investigated for each university individually, and for different ages of faculty. To identify the significant factor affecting the job satisfaction level of the university’s faculty the ordinal logistic regression model is used. The model shows that salary, workload, and facilities are significantly affecting the job satisfaction of the faculty.  Considering the results of the study, it is recommended that salary of the faculty member should be high, workload should be decreases, and required facilities should be provided.