School-Level Predictors of Academic and Athletic Success

Location

Room 210

Proposal Track

Research Project

Session Format

Presentation

Abstract

The purpose of this study was to determine if specific school-level variables predict a high school’s academic performance and the success of its athletic department. A nonexperimental multivariate ex post facto correlational design and a group comparison design were employed in the study. Georgia public high schools competing in the GHSA classifications AAAAA, AAAA, and AAA during the academic years 2008-2010 were included in the study. Logistic regression was used to determine if the school-level variables predicted a school’s academic performance. A Mann-Whitney U test was used to determine if high-performing and low-performing schools were significantly different in terms of athletic department success.

The predictor variables were able to accurately predict academic performance for over 82% of schools. While the percentage of minority students, graduation rate, and GHSGT scores were significant predictors in two out of the three classifications, the percentage of economically disadvantaged students was not a significant predictor. Significant differences existed between high-performing and low-performing schools in terms of overall athletic performance in GHSA classifications AAA and AAAA. Academic predictors (GHSGT scores and graduation rate) were linked to athletic achievement. Demographic variables (percentage of economically disadvantaged students and minority students) were significant predictors in classification AAA, but not in the larger classifications.

Keywords

Academic success, Athletic success, High school

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Oct 18th, 10:30 AM Oct 18th, 11:45 AM

School-Level Predictors of Academic and Athletic Success

Room 210

The purpose of this study was to determine if specific school-level variables predict a high school’s academic performance and the success of its athletic department. A nonexperimental multivariate ex post facto correlational design and a group comparison design were employed in the study. Georgia public high schools competing in the GHSA classifications AAAAA, AAAA, and AAA during the academic years 2008-2010 were included in the study. Logistic regression was used to determine if the school-level variables predicted a school’s academic performance. A Mann-Whitney U test was used to determine if high-performing and low-performing schools were significantly different in terms of athletic department success.

The predictor variables were able to accurately predict academic performance for over 82% of schools. While the percentage of minority students, graduation rate, and GHSGT scores were significant predictors in two out of the three classifications, the percentage of economically disadvantaged students was not a significant predictor. Significant differences existed between high-performing and low-performing schools in terms of overall athletic performance in GHSA classifications AAA and AAAA. Academic predictors (GHSGT scores and graduation rate) were linked to athletic achievement. Demographic variables (percentage of economically disadvantaged students and minority students) were significant predictors in classification AAA, but not in the larger classifications.