Family Income Classification on Students&rsquo; Academic Performance: A Correlational Study

Rhino Rienz  Casas,

Family Income Classification on Students’ Academic Performance: A Correlational Study

Discipline: Education

Abstract:

This correlational study examines the potential impact of family income classification on students' academic performance. By analyzing 35 samples of grade 12 students from Maguikay High School and their academic performance which is the 1st quarter average grade school year 2022-2023 gathered from their class adviser, in conjunction with information on family income obtained through the survey, the study aims to ascertain whether there exists a significant correlation between family income and academic achievement. Results show that the family income classification of the respondents is a low-income class (but not poor), the academic performance is very satisfactory and there is no significant relationship between the two variables. The findings indicate that students do not see the status of their family income as an obstacle to getting exceptional academic achievement. The fact that a student is economically disadvantaged does not automatically mean they will perform poorly academically. The research findings have the potential to inform educational policymakers and practitioners on the role of family income in maintaining students' academic outcomes, thus enriching targeted interventions aimed at promoting inclusivity and equity within the educational system. However, this correlational study precludes the establishment of causation, suggesting the need for future research with longitudinal approaches and consideration of other pertinent factors to fully comprehend the complexities of this relationship.

References:

Adzido, R. Y. N., Ahiave, E., Dzogbede, O. E. and Dorkpah, O. K. (2016). Assessment of Family Income on Academic Performance of Tertiary Students: The Case of Ho Polytechnic, Ghana.
International Journal of Academic Research in Accounting, Finance and Management Sciences, Vol. 6, No. 3, pp. 154–169.
Albert, J. R. G, Santos, A. G. F. and Vizmanos, J. F. V. (December 2018). Defining and Profiling The Middle Class. Philippine Institute for Development Studies Policy Notes No. 2018-18 page 2. Rtv. Frm. https://pidswebs.pids.gov.ph/CDN/PUBLICATIONS/pidspn1818.pdf
Bhide, R. (2022). How Many Participants Do I Need For a Quantitative Study? HelpToStudy.com. https://www.helptostudy.com/how-many-participants-do-i-need-for-a-quantitative-study/
Budiu, R. & Moran, K. (2021). How Many Participants for Quantitative Usability Studies: A Summary of Sample-Size Recommendations. Nielsen Norman Group. https://www.nngroup.com/articles/summary-quant-sample- sizes/#:~:text=If%20you%20test%20with%20too%20many%2C%20you're%20essentially%20thro wing,40%20participants%20for%20quantitative%20studies.
DepEd Order No. 8, Series of 2015. Policy Guidelines on Classroom Assessment for the K to 12 Basic Education Program. pg. 16.
Family Income and Expenditure Survey National and Regional Estimates. (2018). Philippine Statistics Authority. Volume 1, pg. 17. https://psa.gov.ph/sites/default/files/FIES%202018%20Final%20Report.pdf
Frost, J. (2023). Interpreting correlation coefficients. Statistics by Jim. https://statisticsbyjim.com/basics/correlations/
Grange, J. (December 5, 2015). Statistics Tables: Where do the Numbers Come From? Wordpress.com. https://jimgrange.wordpress.com/2015/12/05/statistics-tables-where-do-the- numbers-come-from/
Kendra, C. (2022). What is a correlation? Verywell Mind. https://www.verywellmind.com/what-is- correlation-2794986
Machebe, C. H., Ezegbe, B. N. & Onuoha, J. (2017). The impact of parental level of income on students’ academic performance in high school in Japan. Universal Journal of Educational Research, v5 n9 p1614-1620 https://eric.ed.gov/?id=EJ1170144
Moneymax. (updated June 22, 2022). How Much Money Should I Save for a Child’s Education? Moneymax.ph. Moneyguru Philippines Corporation. https://www.moneymax.ph/personal- finance/articles/cost-of-education-philippines
Morrissey, T. W., Hutchison, L., & Winsler, A. (2014). Family income, school attendance, and academic achievement in elementary school. Developmental Psychology, 50(3), 741–753. https://doi.org/10.1037/a0033848
Obaob Jr., Geronimo S. and Abad, Ireneo C. (2020 Edition). Data Analysis with Ease and Confidence. Cebu Normal University pp. 91 – 95.
Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients. Anesthesia & Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ane.0000000000002864
Statistics - T-Distribution table. (n.d.). Tutorialspoint. https://www.tutorialspoint.com/statistics/t_distribution_table.htm
The Wing Institute at Morningside Academy. (2022). How Does Math Proficiency Correlate with a Student’s Socio-economic Status? Placemaking Group. https://www.winginstitute.org/how-does- math-proficiency