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Book Predictors of Academic Success Among Students in an Undergraduate Commission on the Accreditation of Allied Health Educational Programs CAAHEP Accredited Athletic Training Education Program

Download or read book Predictors of Academic Success Among Students in an Undergraduate Commission on the Accreditation of Allied Health Educational Programs CAAHEP Accredited Athletic Training Education Program written by Craig A. Kemmlein and published by . This book was released on 2002 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Dissertation Abstracts International

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2001 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Arnheim s Principles of Athletic Training

Download or read book Arnheim s Principles of Athletic Training written by William E. Prentice and published by . This book was released on 2002 with total page 1070 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Predictors of Undergraduate Academic Success

Download or read book Predictors of Undergraduate Academic Success written by Sheri L. Glick-Cuenot and published by . This book was released on 2014 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study attempted the answer to two primary questions: (a) Are strategic thinking skills possessed by college students prior to university matriculation related to their academic success in college, and (b) How does the predictive accuracy afforded by these skills compare to that from high school grade point average or standardized test scores? A non-experimental quantitative longitudinal research design was employed to conduct this analysis. Three cognitive skills associated with strategic thinking (reframing, reflection, and systems thinking) high school grade point average and standardized test scores served as predictor variables. Six contextual variables - age, gender, ethnicity, education of mother, education of father and academic discipline served as moderators of the relationship between the use of strategic thinking skills and student academic success. Predictor and moderator variable data were collected in the fall of 2009 from a random sample of 229 entering freshman in their first three weeks of university matriculation to mitigate the effect of their program of study and college experience on their thinking skills. The criterion variable - academic success - was measured by student college grade point average, time to degree and degree earned. Data on the criterion variable were collected during the summer of 2013 and fall 2014, from university archival sources, for academic years 2009-10, 2010-11, 2011-12, and 2012-13. Multiple regression and correlation analyses were used to test the hypotheses engendered by the research questions. This research found significant positive correlations among the use of strategic thinking skills and high school grade point average, college grade point average, time to degree and degree earned. College grade point average was the strongest predictor of time to degree and degree earned. These findings add a new dimension that colleges and universities may wish to consider in their admission decisions. The findings also suggest that curricula in K-12 education should be examined to be sure these skills - reframing, systems thinking, and reflecting are taught and learned. Thus, the findings will have theoretical and practical significance.

Book Predictors of Academic Success Among First generation and Non first generation College Students

Download or read book Predictors of Academic Success Among First generation and Non first generation College Students written by Tiffany Abeyta and published by . This book was released on 2015 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past two decades we have seen an increase in the number of students who are the first in their family to attend college. Research shows first-generation college students (FGCS) have lower academic success (GPA) than non-first-generation college students (NFGCS). Through this study, I will aim to replicate findings of differences in GPA between FGCS and NFGCS, and examine whther general perceived stress, perceived academic stress, academic self-efficacy, and social support mediated any relationship between generational status and GPA. Data were collected from three groups: 70 FGCS, whose parent(s) did not receive a college degree, 19 students with moderate parental secondary education (MPSE), whose parent(s) earned an associate's degree, and 45 NFGCS, whose parent(s) earned a bachelor's degree or higher. The full sample included 134 undergraduate students, 67 of whom were college freshmen. Participants completed a demographic questionnaire, the Perceived Stress Scale-14, the Academic Stress Subscale, the Academic Self-Efficacy Subscale, and the Inventory of Socially Supportive Behaviors. College GPAs were obtained from the NMHU Office of Institutional Effectiveness and Research. Separate one-way Analyses of Variance (ANOVAs) were used to examine if differences in college GPA, perceived stress, academic stress, academic self-efficacy and social support exists beteween FGCS, students with MPSE, and NFGCS. There were no significant differences in GPA between FGCS, students with MPSE, and NFGCS using the full sample or the freshmen sample (p>.10). There were no significant differences on Perceived Stress Scale scores, Academic Stress Subscale, Academic Self-Efficacy subscale scores, and Inventory of Socially Supportive Behaviors scores between FGCS, students with MPSE, and NFGCS in the full sample or the freshmen sample (p>.10). Using correlations, we also examined if general perceived stress, perceived academic stress, academic self-efficacy and social support are associated with GPA. In the full sample, students with higher GPAs reported less general perceived stress (r=-.21, p

Book Cognitive Learning and Study Strategy Predictors of Student athlete Academic Success and Academic Progress Rates

Download or read book Cognitive Learning and Study Strategy Predictors of Student athlete Academic Success and Academic Progress Rates written by Janet Cain Moore and published by . This book was released on 2014 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this research was to explore a range of predictor variables believed to influence the academic success of student-athletes as measured by cumulative grade point averages (CGPA) and academic progress rates (APR). This study included 210 scholarship student-athletes participating in intercollegiate athletics at a National Collegiate Athletic Association (NCAA) limited-resource institution. Multiple regression analysis found standardized test scores (Test), high school core grade point averages (HSGPA), the Will composite scale of the Learning and Study Strategies Inventory, 2nd Edition (LASSI-II), gender, and generational status (i.e. first-generation or non-first-generation) to be most predictive of student-athlete cumulative grade point averages (CGPA). Independent t-tests were conducted on all predictor variables in the study and found significant differences between males and females on the variables of HSGPA, Test, and CGPA with female student-athletes scoring higher on all of these measures. Significant differences were also found between first-generation and non-first-generation student-athletes on variables of HSGPA, Test, Skill, Will, and CGPA with non-first-generation student-athletes scoring higher on all of these measures. Student-athletes participating in non-revenue sports had significantly higher scores on the HSGPA, Test, and CGPA variables. Logistic regression analyses using found standardized test scores to be the only predictor variable in this study to consistently contribute to the prediction of APR point loss.

Book Making the Grade

Download or read book Making the Grade written by Roderick D. Perry and published by . This book was released on 2013 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this study was three-fold. The first purpose was to examine if there was a difference in the academic success of 239 first-year student-athletes between the type of institution they attended, public or private. These student-athletes represented 12 intercollegiate varsity sports at two NCAA Division I institutions in the Midwest during the 2007-2009 academic years, and the study used the five pre-college predictor variables of NCAA GPA, standardized test scores, gender, race, and institution type. The second purpose was to determine which of these predictor variables were statistically significant in predicting academic success of student-athletes by sport. The third purpose was to predict how well these predictor variables could distinguish between student-athletes attending the public institution and student-athletes attending the private institution. The study found that student-athletes at the private institution entered the institution with a better overall academic profile than did the student-athletes at the public institution as related to the predictor variables of high school GPA, NCAA GPA, ACT scores, SAT scores, and first-year college cumulative GPA. The statistically significant relationships between the predictors variables correlated between r = .94 and r = .17. Several stepwise multiple regression analyses were conducted to predict first-year academic success. The study concluded that, when ACT and SAT scores are included, separately, in the model with the predictor variables, then NCAA GPA, ACT scores, gender, and race are statistically significant predictors for student-athletes attending the public institution, while NCAA GPA and ACT scores are statistically significant predictors for student-athletes attending the private institution. NCAA GPA, SAT scores, and gender are statistically significant predictors for student-athletes attending the public institution, and NCAA GPA and SAT scores are statistically significant predictors for student-athletes attending the private institution. Together, these findings suggest that Non-White female student-athletes are predicted to have a higher first-year cumulative GPA than any other student-athlete at the public institution when ACT scores are added to the model, and female student-athletes are predicted to have a higher first-year cumulative GPA than any other student-athlete when SAT scores are added to the model. A stepwise discriminant analysis was conducted to predict how well the predictor variables distinguish between the public and private institutions. Based on the findings, NCAA GPA, standardized test scores, and race are the statistically significant variables in the model. Overall, 66.9% of the student-athletes in the study were classified correctly into public and private institution. The student-athletes attending the public institution were classified with slightly better accuracy (67.9%) than the student-athletes attending the private institution (66.2%).

Book Predicting Student athlete Academic Success with Preadmission Social contextual and Sport Variables

Download or read book Predicting Student athlete Academic Success with Preadmission Social contextual and Sport Variables written by Michael Wallace McCall and published by . This book was released on 2011 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Universities are required by the NCAA to ensure student-athletes make progress towards earning a degree. In 2004, The NCAA created the Academic Progress Rate (APR) metric to assess if universities were facilitating academic success for student-athletes. Athletic programs that fail to meet an APR score of 925 receive a variety of penalties. These penalties not only hurt the athletic program but also tarnish an institution's image. Predicting which student-athletes are at-risk can provide an opportunity for athletic programs to change procedures to reduce risk. Although the NCAA provides information about APR risk, results are calculated based on aggregated data across a variety of institutions ranging from regional colleges to elite private universities. The risk factors provided by the NCAA may not accurately reflect risk within a specific institution. The present study assessed risk factors related to losing APR points for student-athletes attending a Division I institution in a BCS conference. Archival data were collected from the institution and the NCAA for 829 student-athletes receiving athletic scholarships between 2003-2009 school years. Predictor variables included high school GPA, SAT scores, conditions of admission, SES, race/ethnicity, sex, playing time, red shirting, distance from home, and sport risk. Results of the analysis indicate that male and female student-athletes have different risk factors and should be analyzed separately. There is an interesting relationship between high school GPA and SAT scores for minority student-athletes. Finally, a combination of preadmission, social-contextual, and sport variables were associated with student-athletes at-risk for losing APR points.

Book Relationships Among Predictors of Collegiate Performance Introduction to College Life Courses and Measures of Academic Success

Download or read book Relationships Among Predictors of Collegiate Performance Introduction to College Life Courses and Measures of Academic Success written by David Wayne Murphy and published by . This book was released on 1999 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Traditional and Non traditional Predictors of Academic Success of Freshmen Student Athletes at Indiana University

Download or read book Traditional and Non traditional Predictors of Academic Success of Freshmen Student Athletes at Indiana University written by Cynthia A. Babington and published by . This book was released on 1996 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Collegiate Student athletes Academic Success

Download or read book Collegiate Student athletes Academic Success written by Kai'Iah A. James and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation study examines the impact of traditional and non-cognitive variables on the academic prediction model for a sample of collegiate student-athletes. Three hundred and fifty-nine NCAA Division IA male and female student-athletes, representing 13 sports, including football and men's and women's basketball provided demographic information (i.e., race, academic classification, gender, scholarship status) and provided responses to the Academic Communication Anxiety Test instrument. The Associate Athletic Director for Student-Athlete Services provided precollege and college academic information (high school GPA, SAT/ACT score, collegiate GPA) and this information along with data provided by the participants was entered into a multiple regression analysis. The purpose of the study was to determine which variables predicted student-athlete college GPA and if participation in a revenue-generating versus a nonrevenue-generating sport impacted college GPA. The analyses indicated that the ACAT was a valid and reliable measure (alpha = .94) with three factors. In addition, high school core GPA, study hall hour requirement, academic classification, and pre-college standardized test score made significant contributions to the prediction equation. Participation in a revenue-generating sport was found to significantly impact GPA.