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Student Retention Analytics: Modeling the Effect of Poverty on College Student Retention

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  • Adam GUERRERO

    (University of the Incarnate Word, United States)

Abstract

Utility maximization theory is used to construct a rational choice model that examines the effects of the determinants of college student retention. The current research examines the impact that poverty has on year-to-year student persistence probabilities for freshmen students enrolled at a multicampus nonprofit private university that serves students from culturally diverse backgrounds. Institutional database records were used to generate a sample of 480 first-time full-time freshmen who were observed in between their freshmen and sophomore years. The dependent variable is a dichotomous measure of persistence taking the value of one if a student re-enrolled during the following academic year, making it possible to cross-examine the results of multiple econometric estimation methodologies including the linear probability model, logistic regression, and probit regression analysis. Additional variables, some of which are new to the persistence literature, are included to control for academic, social, financial, economic, and student background contexts. The study ends with policy-recommendations centered on the creation of attrition-minimization programs for students who come from disadvantaged backgrounds.

Suggested Citation

  • Adam GUERRERO, 2023. "Student Retention Analytics: Modeling the Effect of Poverty on College Student Retention," RAIS Journal for Social Sciences, Research Association for Interdisciplinary Studies, vol. 7(1), pages 1-9, June.
    • Handle: RePEc:smo:jornl1:v:7:y:2023:i:1:p:1-9
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    References listed on IDEAS

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    1. James Wetzel & Dennis O’Toole & Steven Peterson, 1999. "Factors affecting student retention probabilities: A case study," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 23(1), pages 45-55, March.
    2. Kerkvliet, Joe & Nowell, Clifford, 2005. "Does one size fit all? University differences in the influence of wages, financial aid, and integration on student retention," Economics of Education Review, Elsevier, vol. 24(1), pages 85-95, February.
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