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Toby J. Park-Gaghan; Christine Mokher; Taylor Burtch; Morgan Danyi – Grantee Submission, 2024
Florida State University researchers spent the last year collecting and analyzing data on corequisite developmental education (DE) models in Texas as part of a four-year study that received a $1.5M grant from the U.S. Department of Education's Institute of Education Sciences. This study was proposed in response to Texas House Bill (HB) 2223, which…
Descriptors: Developmental Studies Programs, Remedial Instruction, Required Courses, Models
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Waddington, David – College Quarterly, 2019
This study investigates the alignment of a predictive model created to categorize first semester students by risk level of not completing their studies with the faculty identification of students displaying risk behaviours of the same cohort at Mohawk College. Data created by Finnie et al. (2017), is compared to a sample of first semester students…
Descriptors: College Freshmen, At Risk Students, Academic Advising, Identification
Cobb, Cory L. – ProQuest LLC, 2019
In the present study, using a relational efficacy framework, I examined the advisory working alliance and its associations with research self-efficacy among clinical and counseling psychology PhD students. Moreover, I examined whether the research training environment (RTE) and relation-inferred self-efficacy (RISE) mediated the relationship…
Descriptors: Self Efficacy, Clinical Psychology, Counseling Psychology, Graduate Students
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Vianden, Jörg; Barlow, Patrick J. – NACADA Journal, 2015
Extant research suggests that student loyalty, a strong bond between the student and university, positively affects important student outcomes, most notably retention. In this article, we advance the notion that academic advisors should become managers of the student-university relationship. We examine the correlation between respondents'…
Descriptors: Academic Advising, Undergraduate Students, Counseling Effectiveness, Correlation
Bach, Sarah Christine – ProQuest LLC, 2017
This project sought to understand how psychological hardiness is related to graduate students' ability to perform, with a focus on group differences. The sample participants for this project were PhD students at UCI solicited through electronic communication by the Graduate Student division to participate in an online survey as well as an…
Descriptors: Doctoral Programs, Graduate Students, Group Dynamics, Online Surveys
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Hale, Jacqueline M.; Bray, Nathaniel J. – Community College Journal of Research and Practice, 2011
This study compares the impact of timing of registration on the student learning outcomes of students taking courses at three rural community colleges in the southeastern U.S. during the school years 2001-2003. Findings from this study indicate that early registration has a positive influence on students' grades and course completion rates. Also…
Descriptors: Academic Achievement, School Registration, Academic Advising, Time Perspective
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Johnson, James – NACADA Journal, 2013
In an effort to standardize academic risk assessment, the NCAA developed the graduation risk overview (GRO) model. Although this model was designed to assess graduation risk, its ability to predict grade-point average (GPA) remained unknown. Therefore, 134 individual risk assessments were made to determine GRO model effectiveness in the…
Descriptors: Risk Assessment, College Athletics, Athletes, Graduation Rate
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Comer, Keith; Broght, Erik; Sampson, Kaylene – Journal of Institutional Research, 2011
Building on Shulruf, Hattie and Tumen (2008), this work examines the capacity of various National Certificate in Educational Achievement (NCEA)-derived models to predict first-year performance in Biological Sciences at a New Zealand university. We compared three models: (1) the "best-80" indicator as used by several New Zealand…
Descriptors: Science Achievement, Biology, Secondary School Science, National Competency Tests
Levin, James; Wyckoff, John – 1987
Predictive models of persistence and success in baccalaureate engineering programs were developed by analyzing five intellective and nine nonintellective variables. The 1984 entering freshman class in the College of Engineering at the Pennsylvania State University was studied. Usable data were obtained from 1,044 students, or 65% of the…
Descriptors: Academic Achievement, Academic Advising, Academic Persistence, Bachelors Degrees
Bailey, Brenda L.; Bauman, Curtis; Lata, Kimberly A. – 1998
This study used system-wide student satisfaction data from the 14-university Pennsylvania State System of Higher Education (SSHE) to develop a model for predicting student retention, to identify individual students who could be retained with appropriate intervention, and to target factors which may be useful in the intervention process. A student…
Descriptors: Academic Advising, Academic Persistence, College Faculty, College Freshmen
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Oman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education
Fox, Richard N. – 1985
Retention and attrition after the freshman year among disadvantaged students at a senior college of the City University of New York were studied. A conceptual model of Tinto (1975) was applied to a group of students participating in the Search for Education, Elevation, and Knowledge (SEEK) program, which provided remedial and/or developmental…
Descriptors: Academic Advising, Academic Persistence, Basic Skills, College Students
Thornton, Julie, Ed. – 1994
The Language Aptitude Symposium papers include: "Prognostication and Language Aptitude Testing, 1925-62" (Bernard Spolsky); "You, the Government, and Language Aptitude" (Government Roundtable; abstract only); "Styles of Thinking and Learning" (Robert Sternberg); "Current Research in Measuring Listening"…
Descriptors: Academic Advising, Affective Objectives, Age Differences, Attitude Change