The Effect of Socio-economic Status (Parents Involvement, Education Aspiration and Parent’s Education) on Academic Performance among Secondary School Students in Zanzibar
Keywords:
Socioeconomic status, parents’ involvement, students’ education aspiration and parents’ education, students’ academic performance.Abstract
This paper contributes to the understanding of the research based on the effects of socio-economic status (parents’ involvement, education aspiration and parents’ education) on student academic performance among secondary school students in Zanzibar. The study was guided by three objectives; to identify the effect of parent’s involvement on student’s academic performance among secondary school students in Zanzibar, to identify the effect of education aspirations on student’s academic performance among secondary school students in Zanzibar and to identify the effect of parent’s education on student’s academic performance among secondary school students in Zanzibar. It employed purposive and convenient sampling procedures, and by using G*power software the sample of 95 students was used in the present study, therefore regarded as adequate. The instrument to be used was adopted questionnaire which was valid after the instrument validation procedures. Three hypotheses were formulated and the data were analyzed by using measurement model and structural model. However, the present study employed Expectancy theory to show the relationship between dependent and independent variables. The results shows there is significant relationship between social factors; parent’s involvement and education aspiration on academic performance, and there is no significant relationship between economic factor which is parents’ education (as their p-value are 0.256, 0.260 and 0.203respectively). From the study results, it is recommended that there is significant relationship between parent’s involvement and education aspiration on academic performance among secondary school students.
Downloads
References
• Aikens, N. L., &Barbarin, O. (2008). Socioeconomic differences in reading trajectories: The contribution of family, neighborhood, and school contexts. Journal of Educational Psychology, 100, 235-251.
• Ansong, D., Eisensmith, S. R., Okumu, M., & Chowa, G. A. (2019). The importance of self- efficacy and educational aspirations for academic achievement in resource-limited countries: Evidence from Ghana. Journal of Adolescence, 70, 13–23. doi: 10.1016/j.adolescence.2018.11
• Anthony, C. J., & Ogg, J. (2019). Parent involvement, approaches to learning, and student achievement:
Examining longitudinal mediation. School Psychology, 34(4), 376–385. https://doi.org/10.1037/spq0000282
• Azigwe et al. (2016). The Importance of Socio-Economic Status in Determining Student Achievement in Mathematics: A Longitudinal Study in Primary Schools In Ghana. International Journal of Education, Learning and Development Vol.4, No.6, pp.31-47, July 2016.
• Barlett, J. E. Kotrlik, J.W& Higgins, C.C. (2001). ‘Organisation Research: Determining an Appropriate
sample size in Survey Research’, Information Technology, Learning, and Performance Journal, 19(1), 4350.
• Burns, A. C., Burns, K. R., & Bush, R. F. (1995). The SPSS Student Assistant: The Integration of a Statistical Analysis Program into a Marketing Research Textbook. Developments in Business Simulation and Experiential Learning, 22.
• Collis, J & Hussey, R (2013). Business Research: A Practical Guide for Undergraduate and Postgraduate Students. Melbourne: Macmillan International Higher Education.
• Cooper DR, Schindler PS, & Sun J. (2011). Business research methods. McGraw-Hill international Edition.
• [Creswell, J. W. (2014). A concise introduction to mixed methods research. Sage Publications.
• De Boer, H., & van der Werf, M. P. C. (2015). Influence of misaligned parents’ aspirations on long-term student academic performance. Educational Research and Evaluation, 21(3), 232– 257. doi:10.1080/13803611.2015.1039548.
• Eamon, M. (2005). Social-demographic, school neighborhood and parenting influences on Academic achievement of Latino young adolescents. Journal of youth and Adolescence.
• Garcia, (2020). The Relationship of Parental Involvement and Latino Students Academic
Achievement, Absenteeism, and Behavior, United State. Retrived from https://uhclir.tdl.org/bitstream/handle/10657.1/2540/GARCIA-DOCTORALDISSERTATION2020.pdf?sequence=1&isAllowed=y.
• Gefen, D., & Straub, D. (2005),’A Practical Guide to Factorial Validity Using PLS Graph: Tutorial and annotated example. Communication of association for information systems’ 16(1), 91-109.
• Gaskin, J.,(2011),"Common Method Bias”, Gaskination’sStat Wiki.http://statwiki.kolobkreations.com
• Gobena, G, A, (2018). Family Socio-economic Status Effect on Students’ Academic Achievement at College of Education and Behavioral Sciences. Eastern Ethiopia.
• Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of
Partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414-433.
Jeynes, W. (2002). Examining the effects of parental absence on the academic achievement of Adolescents. Journal of Family and Economic issues.
Kim, J., LaRose, R., & Peng, W. (2009). Loneliness as the cause and the effect of
Problematic Internet use: The relationship between Internet use and psychological well-being. Cyber Psychology and Behavior, 12(4), 451-455.
Knutsen, H. K., Alexander, J., Barregård, L., Bignami, M., Brüschweiler, B., Ceccatelli, S.,
Cottrill, B., Dinovi, M., Edler, L., Grasl‐Kraupp, B., Hogstrand, C., Hoogenboom, L. (Ron), Nebbia, C. S., Oswald, I. P., Petersen, A., Rose, M., Roudot, A., Vleminckx, C., . Schwerdtle, T. (2018). Risk to human health related to the presence of perfluorooctane sulfonic acid and perfluorooctanoic acid in food. EFSA Journal, 16(12). https://doi.org/10.2903/j.efsa.2018.5194
Lee, H. W. (2013). An Alternative Authorization Institution for Legitimate Humanitarian
Intervention (Doctoral dissertation).
Luet, K. M. (2017). Disengaging parents in urban schooling. Educational Policy, 31(5), 674-702.
Masamalo, Z. (2017). Persistent dropout in rural community secondary schools in Tanzania: a case of makete district (Doctoral dissertation, Mzumbe University).
Milne, A & Plourde, I, A. (2006). Factors of low -SES Household. What aids academic achievement. Journal of Instructional Psychology 33,183-193.
Ministry of Education and Vocational Training (2018). Zanzibar Education Plan II2017/2018-2021/2022, RGoZ.
Ministry of Education and Vocational Training, 2006). Zanzibar Education Policy 2006, RGoZ.
Morgan ital. (2009). Risk factors for learning-related behavior problems at 24 months of age: Populationbased estimates. Journal of Abnormal Child Psychology, 37, 401-413.
Mugenda, M., & Mugenda, A. (2003). Research Methods in Education: Quantitative and Qualitative Approach, Nairobi: Acts press.
Ogunshol,(2012). The Effects of Parental Socio-Economic Status on Academic Performance of Students in Selected Schools in Edu LGA of Kwara State Nigeria. International Journal of Academic Research in Business and Social Sciences July 2012, Vol. 2, No. 7
Onyancha, F, K, (2015). The influence of parents’ socio-economic status on students’ academic performance in public secondary schools in Keumbu Division, Kisii County, Kenya. IOSR Journal of Humanities and Social Science (IOSR-JHSS) Volume 20, Issue 11, Ver. III (Nov. 2015) PP 20-26.
Opportunity? Rising Inequality, Schools and Children’s Life Chances Russell Sage, New York, pp. 91-116.
Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M.A. (2018). Partial Least Squares Structural Equation Modeling (PLS-SEM) using Smart PLS 3.0: An Updated Guide and Practical Guide tom Statistical Analysis. Kuala Lumpur, Malaysia: Pearson.
Sekaran, U., & Bougie, R. (2010). Research Method for Business: A Skill Building Approach. John Wiley and Sons Inc: Singapore.
Sin, L.Y.M., Tse, A.C.B. and Yim, F.H.K. (2005), "CRM: conceptualization and scale development", European Journal of Marketing, Vol. 39 No. 11/12, pp. 1264-1290. https://doi.org/10.1108/03090560510623253 [32] Slater, S. F., & Narver, J. C. (2000). Intelligence generation and superior customer value. Journal of the academy of marketing science, 28(1), 120-127.
UNESCO (2011). Global Education digests 2011.Comparing educational Statistics across the World: focus on secondary education. Montreal, Canada: UIS.
UNESCO (2015). EFA Global Monitoring Report: Education for All 2000-2015: Achievement and Challenges. Paris, France: UNESCO.
UNICEF (2018). Yemen. A country report on out of school children, Middle East and North Africa out of school children initiatives. Egypt.
Urbach, Nils and Ahlemann, Frederik (2010) "Structural Equation Modeling in Information Systems Research Using Partial Least Squares," Journal of Information Technology Theory and Application (JITTA): Vol. 11: Iss. 2, Article 2.
Ussi, R. M. (2015). The implementation of Education policy in reducing school dropout in Zanzibar: A case of Tumbe Ward Pemba (Doctoral dissertation, Mzumbe University).
Yoon, J. J., Lee, Y. J., Kim, J. S., Kang, D. G., & Lee, H. S. (2010). Betulinic acid inhibits high glucoseinduced vascular smooth muscle cells proliferation and migration. Journal of Cellular Biochemistry, 111(6), 1501–1511. doi:10.1002/jcb.22880
Yuksel, A., Yuksel, F., & Bilim, Y. (2010). Destination attachment: Effects on customer satisfaction and cognitive, affective and conative loyalty. Tourism Management, 31(2), 274–284. doi:10.1016/j.tourman.2009.03.007