Date of Graduation

Fall 2020

Degree

Master of Science in Agriculture

Department

College of Agriculture

Committee Chair

Elizabeth Walker

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

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

Copyright

© Maddison V. May

Open Access

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