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King, David R.; Ndum, Edwin – ACT, Inc., 2017
We examined the validity of 10 psychosocial factors for predicting retention status (stay, transfer, or drop out) at the start of second year of college by fitting a mixed-effects multinomial logistic regression model. Data consisted of retention records of 9,364 students from 31 four-year institutions. Predictors included commonly used variables…
Descriptors: Psychological Patterns, Social Influences, Predictor Variables, Undergraduate Students
Baier, Stefanie T.; Markman, Barry S.; Pernice-Duca, Francesca M. – Journal of College Student Development, 2016
We surveyed 237 first-time college students to examine the extent to which social-cognitive factors--self-efficacy, perceptions of mentorship, high school GPA, ACT scores, first-semester college GPA, and demographic characteristics-- influence freshmen's intent to persist. Standard multiple regression and MANOVA were conducted to determine the…
Descriptors: Student Surveys, College Freshmen, Social Influences, Self Efficacy
Kim, Johyun – Journal of Student Affairs Research and Practice, 2015
This predictive correlational research study examined the effect of cognitive, demographic, and socioeconomic variables as predictors of regular and special admission students' first-year GPA and retention among a sample of 7,045 students. Findings indicated high school GPA and ACT scores were the two most effective predictors of regular and…
Descriptors: Predictor Variables, College Admission, Admission Criteria, Correlation
Wu, Jennifer; Kraemer, Philipp – Teaching of Psychology, 2017
This project describes the results from a large enrollment introductory psychology course specially designed to improve performance of first-year students. The main objective of the project was to identify early indicators of student success to inform future teaching and promote classroom engagement. Variables representing academic preparation,…
Descriptors: College Freshmen, Introductory Courses, Psychology, Academic Achievement
Mould, Tom; DeLoach, Stephen B. – Journal of the National Collegiate Honors Council, 2017
While studies of predictive factors for success in honors have been increasingly creative and expansive on what these factors might include, they have rarely challenged the dominant, virtually monolithic definitions of success. The majority of studies measure success either by collegiate grade point averages (GPAs) or retention rates in honors,…
Descriptors: College Students, Grade Point Average, Honors Curriculum, Alternative Assessment
Turner, Jacob Stephen; Croucher, Stephen Michael – Learning, Media and Technology, 2014
The current study uses survey methods to understand how US college students' use of various types of social media, such as social networking websites and text messaging on smart phones, as well as consumption of traditional media, such as watching television and reading books for pleasure, is (or is not) related to intellectual cognitive…
Descriptors: Correlation, College Students, Grade Point Average, Student Surveys
Brown, Jennifer L.; Halpin, Glennelle; Halpin, Gerald – Higher Education Studies, 2015
The demand for STEM graduates has increased, but the number of incoming freshmen who declare a STEM major has remained stagnant. High school courses, such as calculus, can open or close the gate for students interested in careers in STEM. The purpose of this study was to determine if high school mathematics preparation was a significant…
Descriptors: Mathematics Achievement, Grade Point Average, Statistical Analysis, STEM Education
Pike, Gary R.; Hansen, Michele J.; Childress, Janice E. – Journal of College Student Retention: Research, Theory & Practice, 2014
The present research examined the extent to which pre-college characteristics, high school experiences, college expectations, and initial enrollment characteristics were related to graduation from college. Data from admission applications, the "ACT Compass" survey, and initial enrollment measures for Fall 2004 and Fall 2005 first-time…
Descriptors: Student Characteristics, Educational Experience, Correlation, Expectation
West, Suzanne M. – ProQuest LLC, 2013
Course grades, which often include non-achievement factors such as effort and behavior and are subject to individual teacher grading philosophies, suffer from issues of unreliability. Yet, course grades continue to be utilized as a primary tool for reporting academic achievement to students and parents and are used by most colleges and…
Descriptors: Secondary School Mathematics, Secondary School Students, Grade Point Average, High Stakes Tests
McArdle, John J.; Paskus, Thomas S.; Boker, Steven M. – Multivariate Behavioral Research, 2013
This is an application of contemporary multilevel regression modeling to the prediction of academic performances of 1st-year college students. At a first level of analysis, the data come from N greater than 16,000 students who were college freshman in 1994-1995 and who were also participants in high-level college athletics. At a second level of…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, College Athletics
Scarfone, Melissa Delores – ProQuest LLC, 2013
The purpose of this study was to investigate if there are differences in how cognitive and noncognitive variables predict academic performance for college students with learning disabilities. In particular, this study examined the extent to which the cognitive variables of high school grade point average and SAT (combined verbal and math) or ACT…
Descriptors: Predictor Variables, Cognitive Ability, Cognitive Processes, Academic Achievement
Parrott-Robbins, Rebecca Jon – ProQuest LLC, 2010
The purpose of this study was to investigate--by utilizing data obtained from the Kentucky Community and Technical College System (KCTCS) PeopleSoft database-- whether the American College Testing (ACT) assessment was a predictor of student success for students who had graduated from respiratory, radiography, and nursing programs at Southeast…
Descriptors: Nursing Education, Technical Institutes, Grade Point Average, Multiple Regression Analysis
James, Kai'Iah A. – ProQuest LLC, 2010
This dissertation study examines the impact of traditional and non-cognitive variables on the academic prediction model for a sample of collegiate student-athletes. Three hundred and fifty-nine NCAA Division IA male and female student-athletes, representing 13 sports, including football and Men's and Women's Basketball provided demographic…
Descriptors: Grade Point Average, Income, Standardized Tests, Prediction
Wilson, James K., III – ProQuest LLC, 2012
The purpose of this study was to better predict how a first semester college freshman becomes prepared for college. The theoretical framework guiding this study is Vrooms' expectancy theory, motivation plays a key role in success. This study used a hierarchical multiple regression model. The independent variables of interest included high school…
Descriptors: Predictor Variables, College Readiness, College Freshmen, College Preparation
Redmond, M. William, Jr. – ProQuest LLC, 2011
The purpose of this study is to develop a preadmission predictive model of student success for prospective first-time African American college applicants at a predominately White four-year public institution within the Pennsylvania State System of Higher Education. This model will use two types of variables. They are (a) cognitive variables (i.e.,…
Descriptors: African American Students, College Bound Students, White Students, State Universities
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