An individual differences model for multiple regression
- 107 Downloads
A model for multiple regression was developed which allows individual differences to emerge empirically. The model encompasses as special cases several of the previous attempts to improve psychological prediction by deviating from the usual linear multiple regression model. The model is tested with both artificial and real data. The results indicate that the model effectively reduces the variance of the error of prediction, and that the weights obtained are stable over different samples, and, to some extent, over different sets of predictors.
KeywordsRegression Model Individual Difference Public Policy Real Data Statistical Theory
Unable to display preview. Download preview PDF.
- Frederiksen, N. and Melville, S. D. Differential predictability in the use of test scores.Educ. psychol. Measmt, 1954,14, 647–656.Google Scholar
- Ghiselli, E. E. Differentiation of individuals in terms of their predictability.J. appl. Psychol., 1956,40, 374–377.Google Scholar
- Ghiselli, E. E. The prediction of predictability.Educ. psychol. Measmt, 1960,20, 3–8.Google Scholar
- Ghiselli, E. E. Differentiation of tests in terms of the accuracy with which they predict for a given individual.Educ. psychol. Measmt, 1960,20, 675–684.Google Scholar
- Saunders, D. R. The moderator variable as a useful tool in prediction.Proceedings of the 1954 Invitational Conference on Testing Problems. Educ. Test. Serv., 1955, pp. 54–58.Google Scholar
- Saunders, D. R. Moderator variables in prediction.Educ. psychol. Measmt, 1956,16, 209–222.Google Scholar
- Tucker, L. R. A method for synthesis of factor analysis studies. PRS Report No. 984, 1951.Google Scholar
- Ward, J. H. An application of linear and curvilinear joint functional regression in psychological prediction. Res. Bull. No. 54–86, AFPTRC, Lackland AFB, Texas, 1954.Google Scholar