Violence has been linked to poor academic outcomes in youth, but there is little understanding of the mechanisms underlying this relation. This longitudinal survey study investigated whether sleep disturbance potentially mediates the associations between academic achievement and two forms of violence exposure--community violence and peer victimization-- in 498 seventh-grade youth. Structural eq...

Random intercept model and random intercept & random slope model carrying two-levels of hierarchy in the population are presented and compared with the traditional regression approach. The impact of students’ satisfaction on their grade point average (GPA) was explored with and without controlling teachers influence. The variation at level-1 can be controlled by introducing the higher levels of...

Hawkins, Amy L. M.S., Purdue University, May, 2010. Relationship between Undergraduate Student Activity and Academic Performance. Major Professor: Daniel Lybrook. Research has shown that student involvement enhances the overall college experience and the development of transferable skills for undergraduate students. Participation in student organizations can lead to the development of social an...

Pearson product–moment correlations found significant relationships between students' grades in the online class and their GPA, attendance at a class orientation session, the number of previous course withdrawals, ASSET reading scores, the number of previous online courses, age, and ACT English scores. Regression analysis found that two variables serve as the best predictors: attendance at an o...

This study examined cognitive, academic, and attitudinal predictors of college grade point average (GPA) among college students with learning disabilities (LD). The study population included 84 youth who attended a large private university in the midwestern United States. Measures of cognitive and academic functioning, along with a self-report measure of study habits and study attitudes, were u...

Subjects were engineering majors recruited from a freshman-level engineering class from 2007 through 2010. Data were obtained for 256 students. The outcome variable of interest was retention group: Those who were still active in our engineering program after two years of study were classified as persisters. Those who were no longer in our engineering program were classified as having left in go...

This study aims to 1) develop Machine Learning Ecosystem models enhance grade point averages, and 2) predict averages by modeling techniques, namely, Decision Trees (DT), Naïve Bayes (NB), a Neural Network (NN). Findings from an efficiency comparison of the three in predicting showed that DT achieved highest accuracy 100.00%. In contrast, NN second-highest 85.83%, NB lowest 81.67%. For F-Measur...

College admissions tests predict college performance well, particularly first year grade point average (GPA; Kuncel, Hezlett, & Ones, 2001, 2004). However, noncognitive measures may add to the incremental validity of cognitive measures in that they will assess a broader range of college performance dimensions and reduce racial subgroup differences in performance. Beyond predicting first year GP...

In order to better understand the potential influence of high school students’ grades on how they rate their teachers and schools, we explored relationship between student grade point average ratings teacher effectiveness in 370 classes taught by 230 instructors with over 6,000 students 9–12 an Intermountain West district. Teachers were evaluated 18-item survey. Students also rated schools six ...