Low GPA and College Attrition Predictive Factors: Using Hierarchical Multiple Linear Regression in Predicting Exam Grades of Students in Introduction to Psychology Course

dc.contributor.authorHiggins, Bethany
dc.date.accessioned2022-02-04T20:26:31Z
dc.date.available2022-02-04T20:26:31Z
dc.date.issued2021-12
dc.description.abstractWith the typical college degree completion time expanding four to six years, yet the attrition rate of undergraduate students remaining high, a more in-depth investigation of the reasons of undergraduate extended duration, failure, and success, is needed to understand the problem. The current study used a paper survey to examine how psychological factors (e.g., test anxiety, sleep, and grit) and reading ability (vocabulary and spelling) along with previously measured predictors (e.g., class participation, homework, ACT Reading scores, and online learning) affect success in an Introductory Psychology course. In a hierarchical multiple linear regression model, the predictors and their interactions accounted for nearly half of the overall variance in exam grades. The model introduced test anxiety, the interactions of sleep and test anxiety, sleep and online homework, and test anxiety and ACT Reading scores, as significant contributors to exam performance.
dc.identifier.urihttps://jewlscholar.mtsu.edu/handle/mtsu/6621
dc.language.isoen_US
dc.publisherUniversity Honors College, Middle Tennessee State University
dc.titleLow GPA and College Attrition Predictive Factors: Using Hierarchical Multiple Linear Regression in Predicting Exam Grades of Students in Introduction to Psychology Course
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
HIGGINS, Bethany_F21ThesisFinal.pdf
Size:
885.41 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.27 KB
Format:
Item-specific license agreed upon to submission
Description: