Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-18T14:51:53.790Z Has data issue: false hasContentIssue false
  • English
  • Français

The Determinants of First-Year Academic Performance in the College of Agriculture at Kansas State University, 1990–1999

Published online by Cambridge University Press:  28 April 2015

Andrew P. Barkley  and
Jerry J. Forst
Andrew P. Barkley
Affiliation:
Department of Agricultural Economics, Kansas State University, Manhattan, KS
Jerry J. Forst
Affiliation:
Department of Agricultural Economics, Kansas State University, Manhattan, KS
Get access

Abstract

This research identifies and quantifies the determinants of first-year academic performance in the College of Agriculture at Kansas State University, 1990–1999. Forty-eight percent of the variation in first-semester college grades was explained by high school grades, standardized test scores, socioeconomic variables, high school characteristics, credit hours completed, and major field of study. Approximately 62% of the variation in second-semester grades was explained. First-semester college grades explained 43% of second-semester grades. Several statistically significant relationships are detected, and the implications for students, advisors, and administrators are discussed.

Keywords

academic performance in Colleges of Agriculturecoefficients of separate determinationcollege entrance examsgrade point averagesidentification of at-risk studentsA22
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 36 , Issue 2 , August 2004 , pp. 437 - 448
Copyright
Copyright © Southern Agricultural Economics Association 2004

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aitken, N.D. “College Student Performance, Satisfaction and Retention.” Journal of Higher Education 53(1982):32–50.Google Scholar
Astin, A.W.Predicting Academic Performance in College. New York: Free Press, 1971.Google Scholar
Astin, A.W.. Minorities in American Higher Education. San Francisco: Josey-Bass, 1982.Google Scholar
Baron, J., and Norman, M.F.. “SATs, Achievement Tests, and High-School Class Rank as Predictors of College Performance.” Educational and Psychological Measurement 52(1992):1047–55.CrossRefGoogle Scholar
Beecher, M., and Fischer, L.. “High School Courses and Scores as Predictors of College Success.” The Journal of College Admission 163(1999):4–9.Google Scholar
Belsley, D., Kuh, E., and Welch, R.E.. Regression Diagnostics. New York: Wiley, 1980.CrossRefGoogle Scholar
Burt, O.R., and Finley, R.M.. “Statistical Analysis of Identities in Random Variables.” American Journal of Agricultural Economics 50(August 1968):734–44.CrossRefGoogle Scholar
Buschena, D., and Watts, M.. “How Do Prerequisites Matter? Analysis of Intermediate Microeconomics and Agricultural Economics Grades.” Review of Agricultural Economics 23(Spring/Summer 2001):203–13.CrossRefGoogle Scholar
Cassady, J.C. “Self-Reported GPA and SAT: A Methodological Note.” Practical Assessment, Research, and Evaluation. 7(2001). Internet site: http://ericae.net/pare (Accessed February 2003).Google Scholar
Crouse, J., and Trusheim, D.. The Case Against the SAT. Chicago: The University of Chicago Press, 1988.Google Scholar
Devadoss, S., and Foltz, J.. “Evaluation of Factors Influencing Student Class Attendance and Performance.” American Journal of Agricultural Economics 78(August 1996):499–507.CrossRefGoogle Scholar
Ethridge, D., and Hudson, D.. “Can We Predict Student Success in Agricultural Economics Graduate Programs?” Journal of Agribusiness 14(1996):157–71.Google Scholar
Ezekiel, M., and Fox, K.A.. Methods of Correlation and Regression Analysis, 3rd ed. New York: John Wiley, 1959.Google Scholar
Forst, Jerry J. “Can We Predict Freshman Student Performance in the College of Agriculture at Kansas State University?” M.S. Thesis. Kansas State University, 2000.Google Scholar
Kansas State Board of Education. Average Classroom Teachers' and Principals' Salaries of the 304 Unified School Districts of Kansas for 1989–1990 and 1990–1991. Topeka, Kansas, 1991.Google Scholar
Kansas State Board of Education. Public School Report Selected School Statistics 1989–90. Topeka, Kansas, 1990.Google Scholar
Kansas Statistical Abstract 1990–1991. Lawrence, KS: Institute for Public Policy and Business Research, 1992.Google Scholar
Lincoln, E.A. “The Relative Standing of Pupils in High School, in Early College, and on College Entrance Examinations.” School and Society 5(1917):417–20.Google Scholar
Martin, M.A. “Course Prerequisites and Undergraduate Student Performance.” NACTA Journal 33(1989):38–42.Google Scholar
Mulvenon, S.W., Stegman, C.E., Thorn, A., and Thomas, S.. “Selection for College Admission: Refining Tradition Models.” The Journal of College Admissions 162(1999):20–27.Google Scholar
Passons, W.R. “Predictive Validities of the ACT, SAT and High School Grades for First Semester GPA and Freshman Courses.” Educational and Psychological Measurement 27(1967):1143–44.CrossRefGoogle Scholar
Pindyck, R.S., and Rubinfeld, D.L.. Econometric Models and Econometric Forecasts, 4th ed. Boston: Irwm/McGraw-Hill, 1998.Google Scholar
Schiel, J., and Noble, J.. Accuracy of Self-Reported Course Work and Grade Information of High School Sophomores. ACT Research Report Series 91(6), 1991.Google Scholar
Townsend, B.K., McNerny, N., and Arnold, A.. “Will This Community College Transfer Student Succeed? Factors Affecting Transfer Student Performance.” Community College Journal of Research and Practice 17(1993):433–43.CrossRefGoogle Scholar
Tross, S.A., Harper, J.P., Osher, L.W, and Kneidinger, L.M.. “Not Just the Usual Cast of Char acteristics: Using Personality to Predict College Performance and Retention.” Journal of College Student Development 41 (May-June 2000):323–34.Google Scholar
White, H. “A Heteroskedastic-Consistent Covari-ance Matrix Estimator and a Direct Test for Het-eroskedasticity.” Econometrica 48(1980):817–38.CrossRefGoogle Scholar