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Showing all 12 results Save | Export
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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
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Evans, Carla M. – Journal of Teacher Education, 2017
This study investigates the predictive validity and policy impact of Council for Accreditation of Educator Preparation minimum admission requirements in Standard 3.2 on teacher preparation programs (TPPs), their applicants, and the broader field of educator preparation. Undergraduate grade point average (GPA) and Graduate Record Examination (GRE)…
Descriptors: Predictive Validity, Teacher Education Programs, Academic Standards, Admission Criteria
LeRoux, Mindy J. – ProQuest LLC, 2012
The purpose of this study was to analyze the relationship between oral reading fluency (ORF) and Maze, two common Curriculum-Based Measures (CBMs), and the statewide large-scale assessment of reading in Oregon, the Oregon Assessment of Knowledge and Skills- Reading (OAKS-R). A sample of three cohorts of eighth-grade students in an Oregon school…
Descriptors: Curriculum Based Assessment, Grade 8, Reading Tests, Oral Reading
Murray, Linde – ProQuest LLC, 2013
While access to higher education has received a great deal of attention, the focus has more recently shifted to issues of student success. Student retention and degree completion have taken the forefront, and evidence indicates that the fastest growing occupations will require some level of postsecondary training. Without greater degree…
Descriptors: Academic Achievement, Correlation, State Universities, Role
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Shepler, Dustin K.; Woosley, Sherry A. – Journal of Postsecondary Education and Disability, 2012
This study sought to better understand the early integration experiences of college students with disabilities by examining two research questions: (1) How well do the variables in Tinto's (1993) classic model of student attrition predict the early integration experiences of college students with disabilities? and (2) How do students with…
Descriptors: College Students, Social Integration, Disabilities, Statistical Analysis
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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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Friedman, Charles P.; Bakewell, William E., Jr. – Journal of Medical Education, 1980
The ability of the new Medical College Admission Test (MCAT) to predict performance of first-year medical students at the University of North Carolina was studied. Its incremental validity, determined by computing the additional variance in performance explainable by the MCAT after the effects of other admissions variables were taken into account,…
Descriptors: Academic Achievement, College Entrance Examinations, Grade Prediction, Higher Education
Henderson, Ronald W.; Landesman, Edward M. – 1986
This report explores the student background characteristics that might be associated with success or failure in calculus and evaluates the effectiveness of remedial mathematics education. The sample consisted of two groups at the University of California, Santa Cruz: (1) all students (105) who took first quarter calculus in spring, 1985; and (2)…
Descriptors: Calculus, Correlation, Grade Point Average, Higher Education
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Oman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education
Hawaii Univ., Honolulu. Kapiolani Community Coll. – 1980
Based on data collected from the 1,288 students who enrolled at Kapiolani Community College as first-time freshmen in Fall 1979, a study was undertaken to determine the characteristics of new students that are predictive of two dependent variables: (1) second semester enrollment, and (2) a first semester grade point average (GPA) of 2.0 or above.…
Descriptors: Academic Achievement, Academic Failure, Academic Persistence, College Freshmen
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Watkins, David – Educational and Psychological Measurement, 1986
Learning processes, as measured by the Approaches to Studying Inventory, contributed to the prediction of freshman grades of 181 Australians. Other measures, such as college entrance examinations, locus of control, and student background characteristics, had less predictive ability. (GDC)
Descriptors: Academic Achievement, Cognitive Style, Cognitive Tests, College Entrance Examinations
Pennock-Roman, Maria – 1990
Six American universities were studied to assess the predictive validity of Scholastic Aptitude Test (SAT) scores and other admissions data and of student language background relative to college grades for Hispanic students. Sample sizes at the universities ranged from 76 to 686 for Hispanic subjects and from 924 to 4,919 for White students. The…
Descriptors: Background, Class Rank, College Entrance Examinations, College Students