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Peer reviewedWillingham, Warren W. – Science, 1974
Summarizes the results of the substantial number of statistical studies relating to predicting success in graduate education, suggests some practical implications for selecting graduate students, and indicates where further research is needed. (JR)
Descriptors: Educational Research, Evaluation, Graduate Study, Graduate Surveys
Peer reviewedGross, Alan L. – Psychometrika, 1973
Expressions for the expected value, density, and distribution function (DF) of GS (gain from selection) are derived and studied in terms of sample size, number of predictors, and the prior distribution assigned to the population multiple correlation. (Author/RK)
Descriptors: Academic Achievement, College Admission, Item Sampling, Predictive Measurement
Peer reviewedLinn, Robert L. – Review of Educational Research, 1973
There is more than one reasonable definition of test fairness and these definitions are in conflict; alternate formulations are discussed here. (JB)
Descriptors: Educational Research, Literature Reviews, Measurement Techniques, Predictive Validity
Peer reviewedSockloff, Alan L.; And Others – Educational and Psychological Measurement, 1973
The prediction of academic achievement within a single university was improved by adjusting predictions on the basis of a multiplicative weight which measures the relative mean success of former graduates from each of the various feeder high schools. (Authors)
Descriptors: Academic Achievement, College Students, High Schools, Institutional Characteristics
Peer reviewedConger, Anthony J.; Jackson, Douglas N. – Educational and Psychological Measurement, 1972
Paper discusses the nature of the suppressor variable, constraints upon the degree of gain in predictability by the addition of a suppressor, and the distinct aims of prediction and of construct measurement. (Authors/MB)
Descriptors: Correlation, Definitions, Prediction, Predictive Validity
Peer reviewedSeyfert, Warren C. – NASSP Bulletin, 1972
Results of a national survey on collegiate use of class rank have been analyzed in terms of the chief characteristics that are associated with differences in a college's practice: 1) public or private support, 2) two- or four-year institutions, 3) size of enrollment, 4) section of country; tables and commentary explain the findings. (Editor)
Descriptors: Achievement Rating, Admission Criteria, Class Rank, College Admission
Peer reviewedCampbell, Hugh; Ignizio, James P. – Educational and Psychological Measurement, 1972
Predictions using linear programing are less biased by extreme cases and thus offer a more valid estimate of expected student performance than that given by a least squares approach. (Authors/MB)
Descriptors: Academic Achievement, College Entrance Examinations, Comparative Analysis, Linear Programing
Peer reviewedFarley, Frank H. – Educational and Psychological Measurement, 1972
Study to determine the criterion-related RAM scale relative to a criterion of GPA. (Author/MB)
Descriptors: Academic Achievement, Comparative Analysis, Grade Point Average, Measurement Techniques
Miller, Wilma H. – Illinois School Research, 1972
To individualize instruction in reading, a system of diagnostic measures must be used to establish needs areas. Author examines a number of such measures and proposes subsequent study culminating in a Predictive Index. (Editor/MB)
Descriptors: Diagnostic Tests, Evaluation, Grade 1, Measurement Instruments
Peer reviewedAtkins, Jan W.; Williams, Robert L. – Journal of Educational Research, 1972
Purpose of the study was to determine if primary school children, when exposed to verbal and pictorial descriptions of potentially reinforcing stimuli, could accurately differentiate between the reinforcement potency of these stimuli. (Authors)
Descriptors: Data Analysis, Grade 3, Measurement Instruments, Predictive Validity
Peer reviewedKaufman, Alan S.; Kaufman, Nadeen L. – Child Development, 1972
Results offer empirical support to Ilg and Ames's claim that the Gesell battery is an excellent predictor of school readiness. The close similarity of the Piaget and Gesell tests accords well with previous findings that the two tests have much in common. (Authors/MB)
Descriptors: Achievement Tests, Comparative Analysis, Intelligence Tests, Predictive Measurement
Hermans, Hubert J. M. – Educ Psychol Meas, 1969
Descriptors: Academic Achievement, Elementary School Students, Grades (Scholastic), Multiple Choice Tests
Hanna, Gerald S.; and others – Educ Psychol Meas, 1969
Descriptors: Algebra, Grade 8, Grades (Scholastic), Intelligence Tests
Lowell, Robert E. – New Engl Reading Assoc J, 1970
Investigates selected reading readiness tests and points out that they measure a single generalized factor of readiness. The subtest concerning alphabet letter names provides the best predictor of successful reading in the tests examined. Bibliography. (RW)
Descriptors: Alphabets, Factor Analysis, Predictive Validity, Reading Achievement
Peer reviewedWilson, Warner – Psychological Reports, 1971
Descriptors: Attitudes, College Students, Concept Formation, Interaction


