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N. Frederiksen, S. Melville (1953)
Differential Predictability in the Use of Test ScoresEducational and Psychological Measurement, 14
M. Novick, P. Jackson, Dorothy Thayer, N. Cole (1971)
APPLICATIONS OF BAYESIAN METHODS TO THE PREDICTION OF EDUCATIONAL PERFORMANCE1Psychometrika, 1971
W. Owens (1968)
Toward one discipline of scientific psychology.The American psychologist, 23 11
S. Zedeck (1971)
Problems with the use of "moderator" variables.Psychological Bulletin, 76
H. Toope (1948)
The use of addends in experimental control, social census, and managerial research.Psychological bulletin, 45 1
A. Gross (1973)
A COMPARISON OF THE PREDICTIVE ACCURACY OF A POOLING AND A SUBGROUPING PREDICTION STRATEGY.Multivariate behavioral research, 8 3
R. Lissitz, L. Schoenfeldt (1974)
Moderator Subgroups for the Estimation of Educational Performance: A Comparison of Prediction Models.American Educational Research Journal, 11
Maximum manpower utilization: Development, implementation, and evaluation of an assessment-classification model. 1971 Cattell Award invited address presented at the meeting of the
W. Owens (1970)
A Quasi Actuarial Prospect for Individual Assessment.
J. Loevinger (1957)
Objective Tests as Instruments of Psychological TheoryPsychological Reports, 3
(1973)
Subgroup and individual differences in the quasi-actuarial assessment of behavior: A longitudinal study
American Educational Research Journal Winter 1974, Vol. 11, No. 1, Pp. 87-90 Moderator Subgroups and Bayesian m-Group Regression: Some Further Comments LYLE F . SCHOENFELDT ROBERT W. LISSITZ University of Georgia In our initial paper (Lissitz & Schoenfeldt, 1974), we compared the effectiveness of five moderator subgroup models, including two least square procedures, two probability weighting (semi-Bayesian) methods, and the Bayesian m-group regression method (Novick, Jackson, Thayer, & Cole, 1972), in predicting college grade point average. It was found that the semi- Bayesian, the Bayesian, and within group least squares procedures offered no improvement over the simpler total group least squares method. The Novick and Jackson (1974) reply was concerned with the Bayesian model as it relates to the "classical" (total group least squares) procedure, but focused on the Lissitz and Schoenfeldt (1974) conclusion that the 10% reduction in mean square error reported by Novick et al. (1972) was due to the comparison of the Bayesian procedure to the least effective model, the within-group least squares method. The purpose of the present paper is to comment further on the arguments advanced by Novick and Jackson (1974), specifically the issues raised relevant to their contentions that the Lissitz and Schoenfeldt
American Educational Research Journal – SAGE
Published: Nov 23, 2016
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