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Huberty, Carl J.; Mourad, Salah A. – Educational and Psychological Measurement, 1980
Real data are used to illustrate the comparison of two estimators for the square of a population correlation coefficient and the true validity of a sample prediction equation. Interpretive approaches to, and problems in, multiple correlation/prediction estimation are discussed. (Author/BW)
Descriptors: Correlation, Multiple Regression Analysis, Predictive Measurement, Validity
Peer reviewed Peer reviewed
Messmer, Donald J.; Solomon, Robert J. – Educational and Psychological Measurement, 1979
A method for testing differential predictability in a selection model was illustrated on data from 103 male and 24 female graduate students. Since the models were not homogeneous in the variance, a method for adjusting for heterogeneity was presented. (Author/CTM)
Descriptors: Admission Criteria, Graduate Students, Higher Education, Mathematical Models
Peer reviewed Peer reviewed
Sands, William A. – Educational and Psychological Measurement, 1978
Two computer programs (one batch, one interactive) are designed to provide statistics for a weighted linear combination of several component variables. Both programs provide mean, variance, standard deviation, and a validity coefficient. (Author/JKS)
Descriptors: Computer Programs, Data Processing, Multiple Regression Analysis, Online Systems
Peer reviewed Peer reviewed
Aamodt, Michael G.; Kimbrough, Wilson W. – Educational and Psychological Measurement, 1985
Four methods were used to weight predictors associated with a Resident Assistant job: (1) rank order weights; (2) unit weights; (3) critical incident weights; and (4) regression weights. A cross-validation was also done. Most weighting methods were highly related. No method was superior in terms of protection from validity shrinkage. (GDC)
Descriptors: Decision Making, Evaluation Criteria, Higher Education, Job Analysis