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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.
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
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.
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%).