Factors affecting career retention among mid-career local government employees in Manila City Hall

• Main Authors: Leonin, Clarissa A., Villanueva, Mary Alice Do
• Format: text
• Language: English
• Published: Animo Repository 1996
• Subjects: Careers; Middle age; Municipal officials and employees; Civil service; Life span, Productive; Manila City Hall; x5 Working life; Psychology
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/5743
• Institution: De La Salle University

The present descriptive-correlational study seeks to determine the profile of mid-career local government employees as well as the predictors for their career retention. The study was inspired by another study conducted by undergraduate students of DLSU: Carandang, Dimaano and Lim in 1994 about the career satisfaction and retention of journalists. Non-probability sampling, specifically purposive sampling was employed in getting the sample of this study. The sample consisted of government employees from Manila City Hall who have stayed in their present jobs for at least 10 years. A survey questionnaire, as well as the Work Values Inventory test developed by Donald E. Super were used. The survey questionnaire was used to determine the demographic and job-related factors, while the standard psychological test was used to determine the work values of the respondents. The statistical analysis employed in this study was the Stepwise Regression Analysis to determine the best predictors for career retention. Pairwise Correlations and Predictions were also used to determine the relationship fo each sub-factor to the dependent variable which is the number of years in government service. These two statistical measures were utilized using .05 level of significance. Results showed that the best predictors for career retention are age and salary. The other factors presented such as creativity, achievement, surroundings and supervisory relations, though they have a significant relationship with number of years in government, were not considered as predictors of career retention.