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Autor/inKuterbach, James M.
TitelA Model of Academic Enablers and Academic Performance among Postsecondary Learners
Quelle(2013), (132 Seiten)
PDF als Volltext Verfügbarkeit 
Ph.D. Dissertation, The Pennsylvania State University
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
ISBN978-1-3034-4817-1
SchlagwörterHochschulschrift; Dissertation; Predictor Variables; Outcomes of Education; Postsecondary Education; Academic Achievement; Self Efficacy; Student Motivation; Study Skills; Learner Engagement; Ability; Reading Comprehension; Undergraduate Students; Introductory Courses; Psychology; Rating Scales; Timed Tests; Aptitude Tests; Scores; Regression (Statistics); Correlation; Grades (Scholastic); Hypothesis Testing; SAT (College Admission Test)
AbstractThe purpose of this study was to determine the most important factors in predicting academic outcomes at the post-secondary level. With an increasing number of students attending college and the spiraling costs of post-secondary education there is a greater need, now more than ever, to discern the most important factors in positive academic outcomes for students. While past research has examined many important variables, the majority of those variables are not amenable to interventions. This research examined several such variables, based on the model of academic competence developed by DiPerna, Volpe, and Elliott in 2002. These include self-efficacy, motivation, study-skills, and academic engagement, together with student ability and reading comprehension, as predictors of academic performance. Data was collected from 252 undergraduate students in an introductory educational psychology class. The participants completed a 1-minute maze probe, the General Self-Efficacy scale, and the Academic Competence Evaluation Scales-College. The academic performance measure was students' final grades in the class and student ability was measured via the SAT Reasoning Test scores. Twelve models were tested using ordinary least squares regression in order to determine the strength of the proposed variables. The resulting data demonstrated that the best predictors were study skills, motivation, and reading comprehension; however, because study skills and motivation were highly correlated, and because the strength of the relationship between grades and study skills was no longer significant once motivation was included, the final model included only motivation and reading comprehension. Limitations with both the hypothesis and the design are discussed, as are possibilities for future research. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided).
AnmerkungenProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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