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Testing the Efficacy of a Scholarship Program for Single Parent, Post-Freshmen, Full Time Undergraduates

Author

Listed:
  • Dick M. Carpenter

    (University of Colorado Springs)

  • Sarah J. Kaka

    (University of Colorado Springs)

  • Jennifer A. Tygret

    (University of Colorado Springs)

  • Katy Cathcart

    (University of Colorado Springs)

Abstract

This study examines the efficacy of a scholarship program designed to assist single parent, post-freshmen, full time undergraduate students and predictors of success among a sample of said students, where success is defined as progress toward completion, academic achievement, and degree completion. Results of fixed effects regression and hierarchical linear modeling indicated that single parents who participated in the scholarship program had higher levels of academic achievement, degree completion rates, and greater progress toward completion than non-participants. Consistent significant predictors of success included participation in a scholarship program, full-time status, and whether someone already held a Bachelor’s degree. The findings suggest that the structure of a single parent program that includes requirements for GPA, full-time status, and credit accumulation, as well as personal, professional, and financial resources for participants may be an efficacious model for other colleges to implement in order assist in the success of single parent undergraduate students.

Suggested Citation

  • Dick M. Carpenter & Sarah J. Kaka & Jennifer A. Tygret & Katy Cathcart, 2018. "Testing the Efficacy of a Scholarship Program for Single Parent, Post-Freshmen, Full Time Undergraduates," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(1), pages 108-131, February.
  • Handle: RePEc:spr:reihed:v:59:y:2018:i:1:d:10.1007_s11162-017-9456-0
    DOI: 10.1007/s11162-017-9456-0
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    References listed on IDEAS

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    1. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    2. Jennifer R. Wolgemuth & Philip C. Abrami & Janet Helmer & Robert Savage & Helen Harper & Tess Lea, 2014. "Examining the Impact of ABRACADABRA on Early Literacy in Northern Australia: An Implementation Fidelity Analysis," The Journal of Educational Research, Taylor & Francis Journals, vol. 107(4), pages 299-311, July.
    3. Caudill, Steven B, 1988. "An Advantage of the Linear Probability Model over Probit or Logit," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 50(4), pages 425-427, November.
    4. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    5. Tsui-Fang Lin & Jennjou Chen, 2006. "Custodial Fathers-Do they Work More or Fewer Hours?," Journal of Family and Economic Issues, Springer, vol. 27(3), pages 513-522, September.
    6. Ridder, Geert, 1992. "An empirical evaluation of some models for non-random attrition in panel data," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 337-355, December.
    7. Roger Newson, 2004. "Generalized power calculations for generalized linear models and more," Stata Journal, StataCorp LP, vol. 4(4), pages 379-401, December.
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