Date of Graduation
Fall 2020
Degree
Master of Science in Agriculture
Department
College of Agriculture
Committee Chair
Elizabeth Walker
Abstract
To attempt to find what made students successful within a higher division class at Missouri State University’s (MSU) Darr College of Agriculture, de-identified academic records of 172 students enrolled in AGR 300 - Food and Agriculture Chemistry were studied over four semesters. Deidentified data were collected and compared to final letter grade received at the end of the class using correlation coefficients, analysis of variance, and stepwise regression. Analysis of variance was used to evaluate the influence of semester on letter grade. Correlation coefficients were used to determine and evaluate relationships between the variables and final grade. Stepwise regression was then used to model the factors most important to predicting student success. Deidentified predictors looked at included: ACT composite score, ACT math score, incoming GPA, number of hours taken at MSU, hours taken outside of MSU, number of previously taken math classes, number of previously taken science classes, gender, and age. Significant predictors, at the 0.05 level, included incoming GPA (P
Keywords
grit, academic predictors, successful student, agriculture, undergraduate learning, learning theory, higher education
Subject Categories
Adult and Continuing Education | Agriculture | Biochemistry | Educational Assessment, Evaluation, and Research | Educational Methods | Higher Education Administration
Copyright
© Maddison V. May
Recommended Citation
May, Maddison V., "Predictors of Student Success in an Upper Division Agriculture Chemistry Class" (2020). MSU Graduate Theses/Dissertations. 3588.
https://bearworks.missouristate.edu/theses/3588
Open Access
Included in
Adult and Continuing Education Commons, Agriculture Commons, Biochemistry Commons, Educational Assessment, Evaluation, and Research Commons, Educational Methods Commons, Higher Education Administration Commons
