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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
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
Eickhoff, Mary Ann – ProQuest LLC, 2016
There is currently a nursing shortage in the United States. By 2022, the Bureau of Labor Statistics (BLS) expects, the number of job openings for Practical Nurses (PN) will be 168,500, an increase of 25% over 2012 (BLS, 2014). Nursing education does not currently meet present, much less future needs. Nursing programs have limited space; according…
Descriptors: Nursing Students, Predictor Variables, Success, Licensing Examinations (Professions)
Gorvine, Benjamin J.; Smith, H. David – Teaching of Psychology, 2015
This study describes the use of a collaborative learning approach in a psychological statistics course and examines the factors that predict which students benefit most from such an approach in terms of learning outcomes. In a course format with a substantial group work component, 166 students were surveyed on their preference for individual…
Descriptors: Prediction, Predictive Measurement, Success, Psychology
Siegle, Del; McCoach, D. Betsy; Shea, Kelly – Roeper Review, 2014
Factors associated with motivation and satisfaction aid in understanding the processes that enhance achievement and productivity. Siegle and McCoach (2005) proposed a motivational model for understanding student achievement and underachievement that included self-perceptions in three areas (meaningfulness [goal valuation], self-efficacy, and…
Descriptors: Job Satisfaction, Academically Gifted, Talent, Predictive Measurement
Smith, Wade; Droddy, Jason; Guarino, A. J. – Current Issues in Education, 2011
Schools across America are being ranked for their effectiveness on a number of student criteria, among them preparation of students for a successful college experience. This study investigates the relationship between graduating seniors, their successful first year retention in college and several personal and school related factors. The study…
Descriptors: Academic Achievement, Accountability, School Holding Power, Effect Size
Predictors of Bullying and Victimization in Childhood and Adolescence: A Meta-Analytic Investigation
Cook, Clayton R.; Williams, Kirk R.; Guerra, Nancy G.; Kim, Tia E.; Sadek, Shelly – School Psychology Quarterly, 2010
Research on the predictors of 3 bully status groups (bullies, victims, and bully victims) for school-age children and adolescents was synthesized using meta-analytic procedures. The primary purpose was to determine the relative strength of individual and contextual predictors to identify targets for prevention and intervention. Age and how…
Descriptors: Intervention, Bullying, Prevention, Victims of Crime
Kundi, Ghulam Muhammad; Nawaz, Allah – Turkish Online Journal of Distance Education, 2011
One cannot predict the details of future but one can surely prepare for it. Researchers in eLearning are capitalizing on the user-perceptions as possible predictor of the user-attitudes towards the development, use, problems and prospects of eLearning in their institutions. This application is founded on the psychological fact that a human's…
Descriptors: Electronic Learning, Foreign Countries, Educational Technology, Predictor Variables
Speroni, Cecilia – National Center for Postsecondary Research, 2011
Advanced Placement (AP) and Dual Enrollment (DE) are two programs that allow high school students to earn college credits. The recent growth of these programs has been unprecedented. However, there is little evidence that compares how they fare in terms of improving college access and success. Using data from two cohorts of all high school…
Descriptors: Advanced Placement, College Credits, Dual Enrollment, High School Students
Cox, G. W.; Hughes, W. E., Jr.; Etzkorn, L. H.; Weisskopf, M. E. – IEEE Transactions on Education, 2009
This paper presents the results of an analysis of indicators that can be used to predict whether a student will succeed in a Computer Science Ph.D. program. The analysis was conducted by studying the records of 75 students who have been in the Computer Science Ph.D. program of the University of Alabama in Huntsville. Seventy-seven variables were…
Descriptors: Case Studies, Prediction, Computer Science Education, Doctoral Degrees
Peer reviewedKlimoski, Richard; Brickner, Mary – Personnel Psychology, 1987
Affirms the evidence for predictive validity of assessment centers and concludes that assessment centers can work for a variety of purposes and in numerous contexts. Raises possible explainations for the predictive validity observed in assessment centers and raises implications for practice and guidance of future research. (Author/KS)
Descriptors: Assessment Centers (Personnel), Job Performance, Managerial Occupations, Performance Factors
Jones, Douglas H.; Ragosta, Marjorie – 1982
The purpose of the study was to evaluate the predictive validity of the Scholastic Aptitude Test (SAT) for deaf students at one institution and learning disabled (LD) students at another. SAT scores and measures of high school and college performance were obtained at each institution for both handicapped and nonhandicapped students. Additional…
Descriptors: College Entrance Examinations, Deafness, Grade Point Average, Learning Disabilities
Ventura, Philip R., Jr. – Computer Science Education, 2005
The paper reports on an examination of predictors of success for an "objects-first" course. The predictors considered included prior programming experience, mathematical ability, academic and psychological variables, gender, and measures of student effort. Cognitive and academic factors such as SAT scores and critical thinking ability…
Descriptors: Academic Achievement, Predictor Variables, Computer Science Education, Programming
Peer reviewedWard, G. Robert; And Others – Educational and Psychological Measurement, 1979
For each of four subsamples of Olympic-quality athletes--14 discus, 8 hammer, 11 javelin, and 12 shotput measures of 19 personality constructs yielded only two statistically significant validity coefficients (out of 76 possible significant indices) in the prediction of average length of throw. (Author/JKS)
Descriptors: Athletes, Individual Characteristics, Performance Factors, Personality Measures
Hall, Bruce W.; And Others – 1973
Research examined the hypothesis that predictive validity would be greater for a test given under stress instructions than for a test given under relax instructions. Ss were 254 education students in a graduate measurement course and 117 education students in an undergraduate measurement course. Ss were randomly assigned to the instructional…
Descriptors: College Students, Direction Writing, Performance Factors, Predictive Measurement
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