2016 Research in the Capitol

Determinants of the GPA's of College Students

Presentation Type

Poster Presentation (Electronic Copy Not Available)

Keywords

Academic achievement; College students--Employment; College students--Conduct of life;

Abstract

Previous empirical research explores the relationship between the number of hours worked per week and the grade-point-average (GPA) of college students. Based on the data used in this research, there is a substantial negative correlation between hours worked and GPA. However, previous researchers have discovered that other variables are also determinants of GPA. I reviewed the literature to explore what variables have been used previously and what conclusions previous researchers have reached. I collected data from a survey I distributed that asked students to provide their GPA, the dependent variable in my equation, and answer questions about their pre-college entry exams, time spent studying and working, and other uses of their time which are potential key independent variables. My research employs regression analysis of the survey data and focuses on the possibility of a nonlinear relation between hours worked and GPA, while controlling for other variables.

Start Date

29-3-2016 11:30 AM

End Date

29-3-2016 1:30 PM

Event Host

University Honors Programs, Iowa Regent Universities

Faculty Advisor

Bryce Kanago

Department

Department of Economics

Comments

Location: Iowa State House, Rotunda, Des Moines, Iowa

File Format

application/pdf

Electronic copy is not available through UNI ScholarWorks.

Comments?

Share

COinS
 
Mar 29th, 11:30 AM Mar 29th, 1:30 PM

Determinants of the GPA's of College Students

Previous empirical research explores the relationship between the number of hours worked per week and the grade-point-average (GPA) of college students. Based on the data used in this research, there is a substantial negative correlation between hours worked and GPA. However, previous researchers have discovered that other variables are also determinants of GPA. I reviewed the literature to explore what variables have been used previously and what conclusions previous researchers have reached. I collected data from a survey I distributed that asked students to provide their GPA, the dependent variable in my equation, and answer questions about their pre-college entry exams, time spent studying and working, and other uses of their time which are potential key independent variables. My research employs regression analysis of the survey data and focuses on the possibility of a nonlinear relation between hours worked and GPA, while controlling for other variables.