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Marini, Jessica P.; Westrick, Paul A.; Shaw, Emily J. – College Board, 2021
The purpose of this study is to understand how well the national SAT Validity Study results (Westrick et al., 2019), which is based on the entering class of 2017, generalize to other cohorts of students and how well the SAT predicts longer term outcomes beyond first-year grade point average (FYGPA) and second-year retention. Results show that the…
Descriptors: College Entrance Examinations, Predictor Variables, Academic Achievement, Grade Point Average
Camille Gasaway Pace – ProQuest LLC, 2021
Even with extensive retention research dating from the 1960s, community colleges still struggle to identify the reasons why students do not return to college. Data mining has allowed these retention models to evolve to identify new patterns among student populations and variables. The purpose of this study was to create a predictive model for…
Descriptors: Community Colleges, School Holding Power, College Freshmen, Information Retrieval
Alkushi, Abdulmohsen; Althewini, Abdulaziz – International Education Studies, 2020
Admission criteria can be used to predict Saudi student performance in college, but significant differences across several studies exists. This study explores the predictive power of admission criteria for college assignment using King Saud bin Abdulaziz University for Health Sciences as a model. Scores from high school and standardized tests were…
Descriptors: Predictive Validity, Admission Criteria, College Admission, Grades (Scholastic)
Hinchliffe, Lisa Janicke; Rand, Allison; Collier, Jillian – Communications in Information Literacy, 2018
The process of learning includes not only success in developing knowledge, skills, and abilities but also mistakes and errors that impede such success. In any domain of learning, instructors will have developed a sense of the typical errors learners make; however, there has been no systematic investigation and documentation of predictable…
Descriptors: Information Literacy, College Freshmen, Focus Groups, Misconceptions
Rickes, Scott – ProQuest LLC, 2018
The ability to predict accurately college freshman-year grade point average (FYGPA) in a way that minimizes the adverse impact associated with the predictors traditionally used as acceptance criteria has been an important and controversial topic for several decades. FYGPA is an important measure of educational performance because it is related to…
Descriptors: Racial Differences, Predictor Variables, Ethnicity, College Freshmen
Akos, Patrick; Kretchmar, Jen – Review of Higher Education, 2017
Admissions professionals have historically relied on measures of cognitive ability and academic achievement to make decisions about which applicants are admitted to their institutions. At the very least, selection on the basis of these factors (high school grades and standardized test scores) alone potentially decreases ethnic and socioeconomic…
Descriptors: Predictor Variables, Student Characteristics, Persistence, Grade Point Average
van Ooijen-van der Linden, Linda; van der Smagt, Maarten J.; Woertman, Liesbeth; te Pas, Susan F. – Assessment & Evaluation in Higher Education, 2017
Prediction accuracy of academic achievement for admission purposes requires adequate "sensitivity" and "specificity" of admission tools, yet the available information on the validity and predictive power of admission tools is largely based on studies using correlational and regression statistics. The goal of this study was to…
Descriptors: Bias, Perception, Theories, Admission Criteria
Fonteyne, Lot; De Fruyt, Filip; Dewulf, Nele; Duyck, Wouter; Erauw, Kris; Goeminne, Katy; Lammertyn, Jan; Marchant, Thierry; Moerkerke, Beatrijs; Oosterlinck, Tom; Rosseel, Yves – European Journal of Psychology of Education, 2015
In the psychology and educational science programs at Ghent University, only 36.1% of the new incoming students in 2011 and 2012 passed all exams. Despite availability of information, many students underestimate the scientific character of social science programs. Statistics courses are a major obstacle in this matter. Not all enrolling students…
Descriptors: Predictor Variables, Statistics, Social Sciences, Mathematics Skills
Williams, Raunda; Smiley, Ellen; Davis, Ronnie; Lamb, Teryana – Journal of Negro Education, 2018
The purpose of this study was to examine the predictability of selected cognitive and non-cognitive factors on retention. Data was collected from 822 first-time-freshmen college students at a four-year institution of higher learning. The material was analyzed using specific predictors of Fall 2012 to Spring 2013 retention. These cognitive and…
Descriptors: Predictor Variables, School Holding Power, College Freshmen, Student College Relationship
Higdem, Jana L.; Kostal, Jack W.; Kuncel, Nathan R.; Sackett, Paul R.; Shen, Winny; Beatty, Adam S.; Kiger, Thomas B. – Educational Measurement: Issues and Practice, 2016
Recent research has shown that admissions tests retain the vast majority of their predictive power after controlling for socioeconomic status (SES), and that SES provides only a slight increment over SAT and high school grades (high school grade point average [HSGPA]) in predicting academic performance. To address the possibility that these…
Descriptors: Socioeconomic Status, Gender Differences, Racial Differences, Grade Point Average
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
Cheng, Vivienne; Catling, Jonathan – Psychology Teaching Review, 2015
Transition to university is an important and potentially stressful life event for students. Previous studies have shown that resilience, delay of gratification and stress can affect the academic performance of students. However, none have shown the effect of these factors in predicting academic performance, hence the current study aimed to look at…
Descriptors: Resilience (Psychology), Delay of Gratification, Predictor Variables, Psychology
Brouwer, Jasperina; Jansen, Ellen; Hofman, Adriaan; Flache, Andreas – Research in Post-Compulsory Education, 2016
Two theoretical approaches underlie this investigation of the determinants of early study success among first-year university students. Specifically, to extend Walberg's educational productivity model, this study draws on the expectancy-value theory of achievement motivation in a contemporary university context. The survey data came from 407…
Descriptors: College Freshmen, Progress Monitoring, Success, Achievement Need
Islam, M. Mazharul; Al-Ghassani, Asma – International Journal of Higher Education, 2015
The objective of this study was to evaluate the performance of students of college of Science of Sultan Qaboos University (SQU) in Calculus I course, and examine the predictive validity of student's high school performance and gender for Calculus I success. The data for the study was extracted from students' database maintained by the Deanship of…
Descriptors: Foreign Countries, Calculus, College Mathematics, Mathematics Achievement
Beard, Jonathan; Marini, Jessica P. – College Board, 2015
The continued accumulation of validity evidence for the intended uses of educational assessment scores is critical to ensure that inferences made using the scores are sound. To that end, the College Board has continued to collect college outcome data to evaluate the relationship between SAT® scores and college success. This report provides updated…
Descriptors: Statistical Data, Predictive Validity, Educational Assessment, Evidence