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Showing 1 to 15 of 20 results Save | Export
Giani, Matt S.; Attewell, Paul; Walling, David – Texas Education Research Center, 2021
Despite advances made in broadening access to higher education, some evidence suggests that college completion rates have actually declined over time, and attainment gaps stemming from race/ethnicity and socioeconomic background have remained stubbornly persistent (Bound, Lovenheim, & Turner, 2010; National Center for Education Statistics,…
Descriptors: Access to Education, Higher Education, Graduation Rate, Academic Persistence
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Majid Elahi Shirvan; Abdullah Alamer – Journal of Multilingual and Multicultural Development, 2024
Given the recent attention to language-domain-specific grit in the field of SLA and the scarcity of research on the antecedents of L2 grit, we proposed a model that links L2 learners' basic psychological needs (BPN) (i.e. autonomy, competence, and relatedness), L2 grit (i.e. perseverance of effort (PE) and consistency of interest (CI)), and L2…
Descriptors: Correlation, Psychological Needs, Academic Persistence, Personality Traits
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Zwolak, Justyna P.; Zwolak, Michael; Brewe, Eric – Physical Review Physics Education Research, 2018
The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely…
Descriptors: Social Networks, STEM Education, Academic Persistence, Peer Relationship
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Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
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Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
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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
Braysher, Ben – National Centre for Vocational Education Research (NCVER), 2012
The annual Student Outcomes Survey collects information on the outcomes of two groups of students--those that have completed a qualification (graduates) and those that have completed only part of a course and then left the vocational education and training (VET) system (module completers). At the time of selecting the survey sample, insufficient…
Descriptors: Qualifications, Eligibility, Vocational Education, Graduates
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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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Miller, Thomas E.; Tyree, Tracy; Riegler, Keri K.; Herreid, Charlene – College and University, 2010
This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…
Descriptors: Mentors, Student Attrition, Models, Multiple Regression Analysis
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Terenzini, Patrick, T.; And Others – Research in Higher Education, 1981
The results of a replication study are described that tested the predictive validity of a 34-item instrument designed to assess the fundamental constructs of Tinto's model of college student attrition. Potential institutional differences in faculty members' influence on retention were identified. (Author/MLW)
Descriptors: Academic Persistence, College Freshmen, Dropout Research, Higher Education
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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
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Pascarella, Ernest T.; Chapman, David W. – American Educational Research Journal, 1983
This study extended the knowledge of the explanatory power of Tinto's theoretical model of college persistence/withdrawal through a multi-institutional validation. Path analysis was used to test the model overall and at three different groupings of postsecondary institutions: four-year, predominantly residential; and four-year, and two-year,…
Descriptors: Academic Persistence, Higher Education, Institutional Characteristics, Interpersonal Relationship
Cabrera, Alberto F.; And Others – 1990
This study tested the convergent and discriminant validity between two theories of college persistence: the Student Attrition Model and the Student Integration Model. The study examined conceptual similarities for each theory to explain departure decisions and examined how both theoretical frameworks enhanced the understanding of the processes…
Descriptors: Academic Persistence, Decision Making, Discriminant Analysis, Higher Education
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Fox, Richard N. – American Educational Research Journal, 1986
The retention and attrition after the freshman year among economically and academically disadvantaged students admitted through a special program to an urban, primarily non-residential university is investigated. This paper tests the predictive validity of major constructs in Tinto's explanatory model of college student withdrawal. (Author/BS)
Descriptors: Academic Persistence, Commuting Students, Dropout Research, Educationally Disadvantaged
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