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Badian, Nathlie A. – 1976
Reviewed is the research on the early prediction of academic underachievement or learning difficulty and described are predictive projects currently underway by the author. Suggested by the review are that the child at highest risk for school learning difficulties is a later-born male, who has a history of pre or perinatal complications and who is…
Descriptors: Exceptional Child Research, Group Testing, Infants, Learning Disabilities
Pugh, Richard C.; And Others – 1970
The primary aim of this study was to determine whether College Entrance Examination Board (CEEB) Achievement Test results provide additional information for the prediction of academic success beyond the normal data accumulated. The study presents two types of evidence: (1) a prediction of first semester grade point averages (GPA), and (2) a…
Descriptors: Academic Achievement, Achievement Tests, College Freshmen, Grade Point Average
Willingham, Warren W. – 1973
The available objective evidence suggests that the accuracy of predicting which students will succeed in a particular graduate school is often no better than modest, especially if such predictions are based only upon a test or a grade record. Taken together these two types of predictors do a reasonably good job, considering the restricted range of…
Descriptors: Academic Achievement, Admission Criteria, Competitive Selection, Graduate Study
Mullins, Cecil J.; Usdin, Eugene – 1970
In a training situation, the standard procedures for predicting performance entail long delays between the request for a predictive instrument and its delivery. Methods were developed for constructing psychological prediction instruments at the time of the request, rather than waiting for the maturation of the criterion data. The two synthetic…
Descriptors: Aviation Mechanics, Measurement Techniques, Military Training, Performance
Peer reviewed Peer reviewed
Roe, K. V. – Perceptual and Motor Skills, 1977
Descriptors: Cognitive Development, Infants, Motor Development, Nonverbal Tests
Peer reviewed Peer reviewed
Brazziel, William F. – Journal of Higher Education, 1987
A study that used the new U.S. Census data on participation rates to develop a model for national and state forecasting for enrollment of older students is discussed. Data useful in estimates of institutional market share were also developed. (Author/MLW)
Descriptors: Adult Students, Census Figures, College Attendance, College Students
Malstrom, Eric M.; And Others – Engineering Education, 1984
Presents results of a study to evaluate a model that indicates which factors are most important in predicting performance in engineering graduate programs. Variables tested include honors won, undergraduate grade point, full/part time student, age, marital status, children, undergraduate institution excellence, and two levels of work experience.…
Descriptors: Academic Achievement, Educational Research, Engineering Education, Graduate Study
Peer reviewed Peer reviewed
Muthard, J. E.; And Others – American Journal of Occupational Therapy, 1976
The American Occupational Therapy Association's certification instruments failed to show any ability to predict future job performance and job satisfaction of occupational therapists. (GW)
Descriptors: Certification, Evaluation Criteria, Field Studies, Job Performance
Peer reviewed Peer reviewed
Means, Robert S.; Means, Gladys H. – Journal of Educational Psychology, 1971
Descriptors: Academic Achievement, Academic Aptitude, College Students, Expectation
Peer reviewed Peer reviewed
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Bailey, Brenda L. – New Directions for Institutional Research, 2006
Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)
Descriptors: Graduation Rate, Models, Data, Prediction
YOUNG, EDWIN A. – 1965
GRADES OF 64 STUDENTS IN A SPECIAL PSYCHOLOGY CLASS FOR LOW-ABILITY STUDENTS WERE CORRELATED WITH SCORES ON SELECTED APTITUDE, ACHIEVEMENT, AND MOTIVATIONAL MEASURES. READING COMPREHENSION WAS THE BEST PREDICTOR OF SUCCESS. ACADEMIC ACHIEVEMENT TEST SCORES PREDICTED GRADES BETTER FOR WOMEN THAN FOR MEN. IN GENERAL, SCORES ON VARIOUS TESTS OF…
Descriptors: Academic Ability, Academic Achievement, Educational Counseling, Low Achievement
Petersen, Nancy S.; Novick, Melvin R. – 1975
Models proposed by Cleary, Thorndike, Cole, Linn, Einhorn and Bass, Darlington, and Gross and Su for analyzing bias in the use of tests in a selection strategy are surveyed. Several additional models are also introduced. The purpose is to describe, compare, contrast, and evaluate these models while extracting such useful ideas as may be found in…
Descriptors: Comparative Analysis, Culture Fair Tests, Models, Personnel Selection
Barratt, Ernest S. – 1971
The author attempts to determine the value of psychometric measures of impulsiveness and anxiety for predicting potential disciplinary problems among high school males. A secondary purpose is to relate these personality factors to academic achievement. Approximately 320 sophomores were administered a psychometric battery which included: (1) an…
Descriptors: Academic Achievement, Anxiety, Behavior Problems, Behavior Rating Scales
DAYTON, C. MITCHELL; UHL, NORMAN P. – 1966
THE PURPOSE OF THIS STUDY WAS TO IMPROVE THE PREDICTION OF A STUDENT'S PERFORMANCE IN A SPECIFIC HIGH SCHOOL. THREE HYPOTHESES WERE STRUCTURED (1) THE GREATER THE CONGRUENCE BETWEEN A STUDENT VOCATIONAL PREFERENCE INVENTORY (VPI) PROFILE AND THE OVERALL GRADE LEVEL PROFILE, THE BETTER IS THE STUDENT'S ACADEMIC ACHIEVEMENT AND BEHAVIOR AS MEASURED…
Descriptors: Academic Achievement, Career Choice, Educational Research, High Schools
Peer reviewed Peer reviewed
Hayes, Daniel T. – Central States Speech Journal, 1978
Individual items within the Knower Speech Experience Inventory were studied to discover what specific communication-related experiences distinguish effective from poor public speakers in a basic college level speech communication course. Results showed that 30 of the 48 items successfully discriminated among groups of speakers. (JF)
Descriptors: Academic Ability, College Students, Communication Skills, Experience
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