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Paterson, Kevin; Guerrero, Adam – Research in Higher Education Journal, 2023
Data from a moderately-selective state university in the Midwest is used to cross-examine the most appropriate data analytical techniques for predicting versus explaining college student persistence decisions. The current research provides an overview of the relative benefits of models specializing in prediction versus explanation with particular…
Descriptors: Prediction, Data Analysis, College Students, School Holding Power
Bloemer, William; Day, Scott; Swan, Karen – Online Learning, 2017
In this paper we argue that simply identifying gateway courses in which a large number of students fail or withdraw and focusing attention on them may not always be the best use of limited resources. No matter what we do, there will always be courses with high D/F/W rates simply because of the nature of their content and the preparation of the…
Descriptors: Courses, Success, Academic Persistence, School Holding Power
Predicting Higher Education Outcomes and Implications for a Postsecondary Institution Ratings System
Walker, Eddie G., II – Journal of Higher Education Policy and Management, 2016
The accountability of colleges and universities is a high priority for those making policy decisions. The purpose of this study was to determine institutional characteristics predicting retention rates, graduation rates and transfer-out rates using publicly available data from the US Department of Education. Using regression analysis, it was…
Descriptors: Higher Education, Predictive Measurement, Predictive Validity, Prediction
Reardon, Robert C.; Melvin, Brittany; McClain, Mary-Catherine; Peterson, Gary W.; Bowman, William J. – Journal of College Student Retention: Research, Theory & Practice, 2015
Conducting research and engaging in discussions with administrators and legislators can be important contributions toward alleviating the trend toward lower graduation rates among college students. This study used archival data obtained from the university registrar to examine how engagement in a credit-bearing undergraduate career course related…
Descriptors: Graduation Rate, Student Records, Prediction, Predictive Validity
Lin, Jien-Jou – ProQuest LLC, 2013
Every year a group of graduates from high schools enter the engineering programs across this country with remarkable academic record. However, as reported in numerous studies, the number of students switching out of engineering majors continues to be an important issue. Previous studies have suggested various factors as predictors for student…
Descriptors: Success, Prediction, Predictive Measurement, Predictive Validity
Bass, Laura H.; Ballard, Angela S. – Research in Higher Education Journal, 2012
A study by Kenney, Kenney, and Dumont (2005) identified a supportive learning environment as one of the five indicators for collegiate student engagement, a concept that extends beyond the classroom to permeate the entire educational environment. A student's level of engagement can be impacted as early as orientation and registration, when he is…
Descriptors: Predictor Variables, Educational Environment, Nontraditional Students, Student Attrition
Martin, Andrew J. – School Psychology Quarterly, 2011
In the context of 7,637 high school students, the present study explored an hypothesized formulation of academic courage (defined as perseverance in the face of academic difficulty and fear) and its role in predicting academic performance (literacy and arithmetic) and various academic engagement measures (planning, task management,…
Descriptors: Structural Equation Models, Outcomes of Education, Academic Achievement, Fear
Shulruf, Boaz; Poole, Phillippa; Wang, Grace Ying; Rudland, Joy; Wilkinson, Tim – Advances in Health Sciences Education, 2012
The choice of tools with which to select medical students is complex and controversial. This study aimed to identify the extent to which scores on each of three admission tools (Admission GPA, UMAT and structured interview) predicted the outcomes of the first major clinical year (Y4) of a 6 year medical programme. Data from three student cohorts…
Descriptors: Medical Students, Medical Schools, Clinical Teaching (Health Professions), Structured Interviews
Identifying Students at Risk for Leaving an Institution: SAT and HSGPA as Tools to Improve Retention
Shaw, Emily J.; Mattern, Krista D. – College Board, 2012
The current study will explore the validity and potential of using the SAT, in conjunction with HSGPA, to arrive at a predicted FYGPA to improve student retention at four-year postsecondary institutions. Specifically, this study examined whether college students who did not perform as expected (observed FYGPA minus predicted FYGPA) were more…
Descriptors: College Entrance Examinations, Test Validity, Grade Point Average, High School Students
Roblyer, M. D.; Davis, Lloyd – Online Journal of Distance Learning Administration, 2008
Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…
Descriptors: Prediction, Predictor Variables, Success, Virtual Classrooms
Kaase, Kristopher J. – 1994
This study tested the ability of the Student Adaptation to College Questionnaire (SACQ) to predict attrition for first-time, full-time freshmen at a predominantly white, medium-sized, liberal arts, denominational college in the southeast. A random sample of 100 students were surveyed of which 84 returned usable questionnaires (57 females, 27 male,…
Descriptors: Academic Persistence, College Freshmen, College Students, Higher Education