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Christopher M. Loan – ProQuest LLC, 2024
Simulations were conducted to establish best practice in hyperparameter optimization and accounting for clustering in Generalized Linear Mixed-Effects Model Trees (GLMM trees). Using data-driven best practices, the relationship between a 9th Grade On-Track to Graduate (9G-OTG) indicator and observed high school graduation within four years was…
Descriptors: Data Analysis, Simulation, Longitudinal Studies, Hierarchical Linear Modeling
Stovall, Holly – ProQuest LLC, 2012
Over the past decade educational research has been stimulated by new legislation such as the No Child Left Behind Act. Increasing emphasis is being placed on accurately quantifying the success of treatment programs through student achievement scores, so precise estimation is vital for establishing the efficacy of new methodology. Ranked set…
Descriptors: Sampling, Educational Research, Hierarchical Linear Modeling, Nonparametric Statistics
Hale, Jimmie Edwin – ProQuest LLC, 2014
This study explained Academic Progress Rate (APR) levels and differences in APR (DAPR) with team and institutional variables. Team variables included team gender, sport profile, and squad size. Institutional variables included individual variables aggregated to the institutional level. The data analyzed in this study was derived from the National…
Descriptors: Longitudinal Studies, Academic Achievement, Educational Indicators, College Athletics
McLaughlin, Jacqueline Elaine – ProQuest LLC, 2012
The growing attention given to intercollegiate athletics in recent years amid ongoing controversies highlights the importance of closely examining the implementation and impact of sports policy on college campuses. In an attempt to improve the academic performance and retention of student-athletes, the Academic Progress Rate (APR) was implemented…
Descriptors: College Athletics, Intercollegiate Cooperation, Athletes, Academic Achievement
Salcedo-Gonzalez, Trena – ProQuest LLC, 2012
As accountability reform intensifies, urban school districts strive to meet No Child Left Behind mandates to avoid severe penalties. This study investigated the resurgence of homogeneous grouping methods as a means to increase reading achievement and meet English Language Arts Adequate Yearly Progress requirements. Specifically, this study…
Descriptors: Homogeneous Grouping, High Stakes Tests, Reading Achievement, Reading Improvement
Wilson, James K., III – ProQuest LLC, 2012
The purpose of this study was to better predict how a first semester college freshman becomes prepared for college. The theoretical framework guiding this study is Vrooms' expectancy theory, motivation plays a key role in success. This study used a hierarchical multiple regression model. The independent variables of interest included high school…
Descriptors: Predictor Variables, College Readiness, College Freshmen, College Preparation