Publication
Abstract:This study determined the status of Master in Public Administration and Doctor in Public Administration graduates of the University of Northern Philippines. It also elicited feedback from the graduates on school-related factors and curriculum, faculty, and school facilities. The study used a descriptive-quantitative method using a questionnaire to gather data. The frequency, mean, and percentage were the statistical tools applied in the interpretation of data. Results show that most of the graduates were already employed in the government service enjoying permanent status but occupying the rank-and-file position. The completion of a graduate degree increased the self-confidence, competence, and productivity of the graduates. They strongly recommended that the program is appropriate for government employees interested to pursue graduate studies. In addition, the graduates have a very high level of satisfaction with their curriculum, faculty, and facilities. On the other hand, suggestions for improvements may be considered particularly the classrooms, comfort rooms, internet, classroom ventilation and the limited reading resources in the library.
Keywords:Tracer study, public administration, curriculum, satisfaction
Abstract:Crime such as robbery has been identified as one of the socioeconomic problems across the world, which adverse social, economic, and family conditions have caused. Using discriminant analysis, this study proposed a model for classifying and predicting countries with low and high robbery rates. Robbery rates in 2018 of 42 countries across the world have been extracted from United Nations Office on Drugs and Crime as the dependent variable. Meanwhile, the independent variables included the unemployment rate, average household size, and poverty index. The study originally classified 32 countries with low and 10 with high robbery rates. Pretesting was employed, and the results showed that all the assumptions for discriminant analysis were fulfilled. Using standardized beta and Wilk's Lambda, the average household size is the best predictor variable, while the unemployment rate is the least predictor variable. The overall prediction function model is significant. The classification results by discriminant analysis algorithm for groups with low and high robbery rates show that the proposed model correctly predicts 78.6% of the robbery rates of countries based on the three characteristics, such as their unemployment rate, average household size, and poverty index
Keywords:Robbery rates, discriminant analysis, unemployment rate, average household size, poverty index
On-going
- Implementation and Effectiveness of TUPAD Program in Ilocos Sur: A Study on Employment Outcomes and Socio-economic Impact (GPRC-25-1)
- Problems and Aspirations of Small-Hold Farmers in Ilocos Sur: A basis for Policy Recommendations (GPRC-25-6)
- Status and Implementation of the Regulation of the Piggery and Poultry Farmers’ Operation in the Province of Ilocos Sur (GPRC-25-8)
- Awareness and Observance of the Bawal Bastos Law (RA 11313) in the UNP (GPRC-24-2)
Presentation
- E-Kapitolyo: Digitalization of Public Administration in the Province of Ilocos Sur (2024)
- Financial Capability of the Two Component Cities in the Province of Ilocos Sur (2024)
- The Philippine Basic Consumer Rights: Awareness and Availment of Filipinos in New Zealand (2024)
Citations
Sorry, but there’s nothing here.
IP Registration
Sorry, but there’s nothing here.