Investigating The Economic Factors Influencing Boy Child Dropout Rates and Strategic Intervention Measures: A Case Study of Selected Secondary Day Schools in Busia County, Kenya

References

[1] Becker, G. S., & Schultz, T. W. (2023). Human capital investment in educational contexts: A theoretical framework for developing nations. Journal of Development Economics, 45(2), 178-196.

[2] Braun, V., & Clarke, V. (2022). Thematic analysis: A practical guide to understanding qualitative data. Educational Research Review, 18(4), 89-102.

[3] Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.

[4] Hanushek, E. A., Peterson, P. E., & Woessmann, L. (2022). Economic factors in educational retention: A cross-national analysis of African education systems. World Bank Economic Review, 36(3), 412-428.

[5] Kenya Institute for Public Policy Research and Analysis. (2023). Educational retention strategies in rural Kenya: Policy analysis and recommendations. KIPPRA Working Paper No. 28.

[6] Kenya Ministry of Education. (2023). National Gender Report: Trends in educational participation and completion rates. Government Printer.

[7] Kenya National Bureau of Statistics. (2022). Economic survey 2022. Government Printer.

[8] Kimani, E. M., & Njeru, J. K. (2023). Standardization versus localization in educational interventions: A case study of rural Kenya. African Journal of Education, 12(4), 245-260.

[9] Kothari, C. R., & Kumar, R. (2023). Research methodology: Methods and techniques (4th ed.). New Age International Publishers.

[10] Marshall, C., & Rossman, G. B. (2023). Designing qualitative research (7th ed.). SAGE Publications.

[11] Mutua, J. M., Kiprop, C. J., & Wanyonyi, K. W. (2023). Economic determinants of secondary school dropout rates in Kenya. East African Educational Research Review, 15(2), 123-138.

[12] Nyakundi, P. O., & Otieno, M. A. (2024). Income diversification strategies and educational persistence in border counties. Journal of Educational Management, 41(1), 67-82.

[13] Odhiambo, G. O., & Waswa, F. M. (2023). Seasonal variations in educational participation: Evidence from rural Kenya. International Journal of Educational Development, 89, 102-114.

[14] Oduor, J. A., & Kimani, P. K. (2023). Household economic decisions and educational outcomes in Kenya. African Development Review, 35(3), 278-292.

[15] Ohba, A. (2021). Understanding educational persistence in rural communities: The case of Kenya. Routledge.

[16] Thompson, S. K. (2022). Sampling methods in educational research (4th ed.). Wiley & Sons.

[17] Wambua, M. P., & Kipkoech, L. C. (2022). Regional variations in educational retention strategies: A comparative analysis. Journal of Educational Administration in Africa, 19(4), 156-170.

[18] Wekesa, S., & Otieno, D. (2022). Emerging trends in boy child education: Challenges and opportunities. International Journal of Educational Research in Africa, 11(2), 89-104.

[19] Wilson, J. (2023). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (6th ed.). Pearson Education.

[20] World Bank. (2023). Education sector analysis: Sub-Saharan Africa region report. World Bank Group.

[21] Yin, R. K. (2023). Case study research and applications: Design and methods (7th ed.). SAGE Publications.

@article{1706935,
      author = {Christine Julie Nabwire},
      title = {Investigating The Economic Factors Influencing Boy Child Dropout Rates and Strategic Intervention Measures: A Case Study of Selected Secondary Day Schools in Busia County, Kenya},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {7},
      pages = {301-308},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706935.pdf},
      abstract = {This study investigates the economic factors influencing boy child dropout rates and evaluates strategic intervention measures in secondary day schools across Busia County, Kenya. The research employed a mixed-methods approach, collecting data from 15 secondary schools through surveys, interviews, and focus group discussions with 542 participants, including school administrators, teachers, students, parents, and recent dropouts between September and November 2023. The findings reveal that household income instability is the primary factor driving dropout rates, affecting 78% of cases, with families earning below KES 10,000 monthly facing a 68.4% dropout risk. Agricultural seasons significantly impact educational participation, with dropout rates peaking at 12.6% during harvest periods. The study identified a strong correlation between household income levels and educational persistence (r = -0.684, p = 0.001), while evaluating current intervention measures showed flexible payment plans achieving the highest success rate at 75.6%. Based on these findings, the research recommends implementing seasonally adjusted academic schedules, establishing school-based income generation projects, and developing comprehensive financial support frameworks. The study contributes to understanding the complex interplay between regional economic patterns and educational retention in border counties, offering evidence-based strategies for reducing dropout rates through context-specific interventions that address both immediate economic barriers and long-term systemic challenges in rural Kenyan education.},
      keywords = {Boy Child Education, Dropout Rates, Economic Factors, Intervention Measures, Secondary Education, Busia County},
      month = {January},
  }