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LeMaistre, Tiffany; Shi, Qingmin; Thanki, Sandip – portal: Libraries and the Academy, 2018
This study investigated the relationship between use of online library resources and student success at a small, teaching-focused, baccalaureate college. Researchers also measured whether library users were representative of the student population. Use of online library resources was a significant predictor of semester grade point average (GPA),…
Descriptors: Academic Achievement, Library Services, Users (Information), Electronic Libraries
Motl, Thomas C.; Multon, Karen D.; Zhao, Fei – Journal of Diversity in Higher Education, 2018
Participants include 89 college students from a tribal university in the Midwestern United States. A survey regarding attitudes and adjustment to campus was administered to all students during their first semester of college. Variables assessed included psychosociocultural integration factors, such as educational goals, trust of others at college,…
Descriptors: Academic Persistence, Tribally Controlled Education, American Indian Students, Student Surveys
Johnson, James E.; Wessel, Roger D.; Pierce, David A. – Journal of College Student Retention: Research, Theory & Practice, 2013
The population of 674 first-year student-athletes culled from 5 successive freshman classes (2004-2008) at a mid-size midwestern university was examined to determine what combination of demographic, academic, and athletic variables best predicted retention into the 2nd academic year. The dependent variable of retention was chosen because it is a…
Descriptors: Academic Persistence, College Freshmen, Demography, Academic Achievement
Weems, Amy L. – ProQuest LLC, 2011
In 2001, the Louisiana Board of Regents adopted the "Louisiana Master Plan for Public Postsecondary Education: 2001" as a signal for new accountability standards in Louisiana institutions of higher education. The purpose of this study was to examine the power of the academic criteria utilized by the "Master Plan" to predict…
Descriptors: Academic Achievement, Master Plans, Public Colleges, Predictor Variables
Cheng, Dorothy; Walters, Matthew – Australasian Journal of Peer Learning, 2009
The Peer-Assisted Learning (PAL) program at the University of Minnesota has drawn from the best practices of Supplemental Instruction, Peer-Led Team Learning, Structured Learning Assistance, the Emerging Scholars Program, and other successful postsecondary peer cooperative learning models to establish guiding principles for structuring learning…
Descriptors: Mathematics Instruction, Peer Teaching, Program Effectiveness, College Mathematics
Smith, Richard Manning; Schumacher, Phyllis – Journal of Education for Business, 2006
The authors studied beginning undergraduate actuarial concentrators in a business college. They identified four variables (math Scholastic Aptitude Test [SAT] score, verbal SAT score, percentile rank in high school graduating class, and percentage score on a college mathematics placement exam) that were available for entering college students that…
Descriptors: Business Administration Education, Majors (Students), Aptitude Tests, Scores
Freeberg, Norman E.; And Others – 1989
An initial study of the revised (1985) Student Descriptive Questionnaire (SDQ) of the College Board found it to be of sufficient accuracy to fulfill its intended purposes. This second phase examined the adequacy of the SDQ in terms of the predictive validity of its student academic self-report information against a criterion of first-year college…
Descriptors: Academic Achievement, Class Rank, College Freshmen, Grade Point Average
Barone, Sandra – TG (Texas Guaranteed Student Loan Corporation), 2006
This study examines the default behavior of 3,325 undergraduate student borrowers who attended Prairie View A&M University (PVAMU) and entered repayment on their TG-guaranteed Federal Family Education Loan Program (FFELP) loans between October 1, 2000 and September 30, 2002 (fiscal years 2001-2002). Using the Department of Education's official…
Descriptors: Class Rank, Federal Programs, Student Loan Programs, Probability