Additional considerations with regard to multiple regression and equal weighting

Anderson, 1977, Weak inference with linear models, Psychological Bulletin, 84, 1155, 10.1037/0033-2909.84.6.1155 Cohen, 1968, Multiple regression as a general data analytic system, Psychological Bulletin, 70, 426, 10.1037/h0026714 Cohen, 1975 Conger, 1974, A revised definition for suppressor variables, 34, 35 Darlington, 1968, Multiple regression in psychological research and practice, Psychological Bulletin, 69, 161, 10.1037/h0025471 Dawes, 1974, Linear models in decision making, Psychological Bulletin, 81, 95, 10.1037/h0037613 Dicken, 1963, Good impression, social desirability, and acquiescence as suppressor variables, Educational and Psychological Measurement, 23, 699, 10.1177/001316446302300406 Dixon, 1953, Processing data for outliers, Biometrics, 9, 74, 10.2307/3001634 Efron, 1973, Stein's estimation rule and its competitors-An empirical Bayes approach, Journal of the American Statistical Association, 68, 117, 10.2307/2284155 Efron, 1977, Stein paradox in statistics, Scientific American, 236, 119, 10.1038/scientificamerican0577-119 Einhorn, 1976, Equal weighting in multiattribute models: A rationale, an example, and some extensions Einhorn, 1975, Unit weighting schemes for decision making, Organizational Behavior and Human Performance, 13, 171, 10.1016/0030-5073(75)90044-6 Fricke, 1956, Response set as suppressor variable in the OAIs and MMPI, Journal of Consulting Psychology, 20, 161, 10.1037/h0040063 Goldberg, 1970, The usefulness of “stylistic” scales as potential suppressor or moderator variables in prediction from the CPI, Oregon Research Institute Bulletin, 10 Gunst, 1976, A comparison of least squares and latent root regression estimates, Technometrics, 18, 75, 10.2307/1267919 Guilford, 1965 Hammond, 1966, Probabilistic functionalism: Egon Brunswik's integration of the history, theory and method of psychology Hawkins, 1975, Relations between ridge regression and eigenanalysis of the augmented correlation matrix, Technometrics, 17, 477, 10.2307/1268435 Hocking, 1976, The analysis and selection of variables in linear regression, Biometrics, 32, 1, 10.2307/2529336 Hoerl, 1962, Application of ridge analysis to regression problems, Chemical Engineering Progress, 58, 54 Hoerl, 1970, Ridge regression: Biased estimation for nonorthogonal problems, Technometrics, 72, 55, 10.2307/1267351 Hoerl, 1975, Ridge regression: Some simulations, Communications in Statistics, 4, 105, 10.1080/03610927508827232 Hursch, 1964, Some methodological considerations in multiple cue probability studies, Psychological Review, 71, 42, 10.1037/h0041729 Keren, 1976, Nonorthogonal designs: Sample vs population, Psychological Bulletin, 83, 817, 10.1037/0033-2909.83.5.817 Kerlinger, 1973 Laughlin, 1978, Comments on “Estimating coefficients in linear regression: It don't make no nevermind”, Psychological Bulletin, 85, 247, 10.1037/0033-2909.85.2.247 Lawless, 1976, A simulation study of ridge and other regression estimators, Communications in Statistics, 5, 307, 10.1080/03610927608827353 Lindley, 1972, Bayes estimates for the linear model, Journal of the Royal Statistical Society, 34, 1 Lord, F. M., & Novick, M. R. Statistical theories of mental test scores. Reading, MA: Addison-Wesley Publishing Co. Marquardt, 1975, Ridge regression in practice, The American Statistician, 29, 3, 10.2307/2683673 Muchinsky, 1974, The influence of a suppressor variable and labeled stimuli on multiple cue probability learning, Organizational Behavior and Human Performance, 12, 429, 10.1016/0030-5073(74)90062-2 McNemar, 1969 Overall, 1969, Concerning least squares analysis of experimental data, Psychological Bulletin, 72, 311, 10.1037/h0028109 Price, 1977, Ridge regression: Application to nonexperimental data, Psychological Bulletin, 84, 759, 10.1037/0033-2909.84.4.759 Schmidt, 1971, The relative efficiency of regression and simple unit predictor weights in applied differential psychology, Educational and Psychological Measurement, 31, 699, 10.1177/001316447103100310 Schmidt, 1972, The reliability of differences between linear regression weights in applied differential psychology, Educational and Psychological Measurement, 32, 879, 10.1177/001316447203200403 Slovic, 1971, Comparison of Bayesian and regression approaches to the study of information processing in judgment, Organizational Behavior and Human Performance, 6, 649, 10.1016/0030-5073(71)90033-X Stenson, 1974, The lens model with unknown cue structure, Psychological Review, 81, 257, 10.1037/h0036334 Tucker, 1964, A suggestive alternative formulation in the development of Hursch, Hammond and Hursch, and by Hammond, Hursch and Todd, Psychological Review, 71, 528, 10.1037/h0047061 Tukey, 1962, The future of data analysis, Annals of Mathematical Statistics, 33, 1, 10.1214/aoms/1177704711 Wainer, 1976, Estimating coefficients in linear models: It don't make no nevermind, Psychological Bulletin, 83, 213, 10.1037/0033-2909.83.2.213 Wiggins, 1973 Wilks, 1938, Weighting systems for linear functions of correlated variables when there is no dependent variable, Psychometrika, 3, 23, 10.1007/BF02287917 Winer, 1971 Newman, 1976, Unit versus differential weighting schemes for decision making: A method of study and some preliminary results Curtis, E. W. Factor regression analysis: A new method for weighting predictors. Technical Report NPRDC TR 77-12. Dempster, 1976, A simulation study of alternatives to ordinary least squares