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Schmidt, Frank L. – Educational and Psychological Measurement, 1971
Descriptors: Multiple Regression Analysis, Predictor Variables, Psychology, Raw Scores
Morris, John D. – 1978
Several advantages to the use of factor scores as independent variables in a multiple regression equation were found. To help select the most desirable type of factor score on which to calculate a regression equation, computer-based Monte Carlo methods were used to compare the predictive accuracy upon replication of regression of five…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Multiple Regression Analysis
Peer reviewed Peer reviewed
Morris, John D. – American Educational Research Journal, 1979
Computer-based Monte Carlo methods compared the predictive accuracy upon replication of regression of five complete and four incomplete factor score estimation methods. Prediction on incomplete factor scores showed better double cross-validated prediction accuracy than on complete scores. The unique unit-weighted factor score was superior among…
Descriptors: Correlation, Factor Analysis, Monte Carlo Methods, Multiple Regression Analysis
Veldman, Donald J. – 1978
PRIME is a library of 44 batch-oriented computer routines: 20 major package programs, which use 12 statistical utility routines, and 12 other utility routines for input/output and data manipulation. This manual contains a general description of data preparation and coding, standard control cards, input deck arrangement, standard options, and…
Descriptors: Analysis of Variance, Cluster Analysis, Computer Programs, Correlation
Sternberg, Saul; And Others – 1986
Because analyses of reaction-time data are sensitive to aberrant observations and violations of statistical assumptions, a new approach is suggested. In this empirical approach, one applies the same criteria to the problem of selecting a statistical method as one uses to select among alternative experimental procedures. Six criteria are presented…
Descriptors: Comparative Analysis, Evaluation Criteria, Goodness of Fit, Least Squares Statistics