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Some New Regression Methods for Predictive and Construct Validation

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REFERENCES

  • Campbell, D. T. and D. W. Fiske: 1959, ‘Convergent and discriminant validity in the Multitrait-multimethod matrix’, Psychological Bulletin 56, pp. 81–105.

    Google Scholar 

  • Darlington, R. B.: 1978, ‘Reduced variance regression’, Psychological Bulletin 85 pp. 1238–1255.

    Google Scholar 

  • Darlington, R. B.: 1990, Regression and Linear Models (McGraw Hill, New York).

    Google Scholar 

  • Draper, N. R. and H. Smith: 1981, Applied Regression Analysis, 2nd edition (John Wiley and Sons, New York).

    Google Scholar 

  • Efron, B. and R. Tibshirani: 1986, ‘Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy’, Statistical Science 1, pp. 54–77.

    Google Scholar 

  • Guion, R. M.: 1980, ‘On trinitarian doctrines of validity’, Professional Psychology 11, pp. 385–398.

    Google Scholar 

  • Hauser, R.: 1973, ‘Disaggregating a social-psychological model of educational attainment’, in A. S. Goldberger and O. D. Duncan (eds.), Structural Equation Models in the Social Sciences (Seminar Press, New York), pp. 255–284.

    Google Scholar 

  • Hoerl, A. E. and R. W. Kennard: 1970, ‘Ridge regression: biased estimation for non-orthogonal problems’, Technometrics 12, pp. 55–67 and pp. 69–82.

    Google Scholar 

  • Jöreskog, K. G.: 1969, ‘Efficient estimation in image factor analysis’, Psychometrika 34, pp. 51–75.

    Google Scholar 

  • Jöreskog, K. G. and D. Sörbom: 1986, Analysis of Linear Structural Relationships by Maximum Likelihood, Instrumental Variables and Least Squares, 4th edition (Scientific Software, Moorseville, Indiana).

    Google Scholar 

  • Laughlin, J. E.: 1986, ‘Contrasting alternatives to least squares in regression using diagnostics for identifying influential data’, Multivariate Behavioral Research 21, pp. 103–118.

    Google Scholar 

  • Lawley, D. N. and A. E. Maxwell: 1971, Factor Analysis as a Statistical Method (Butterworths, London).

    Google Scholar 

  • Lawley, D. N. and A. E. Maxwell: 1973, ‘Regression and factor analysis’, Biometrika 60, pp. 331–338.

    Google Scholar 

  • Messick, S.: 1989, ‘Validity’, in R. L. Linn (ed.) Educational Measurement, 3rd Edition (Macmillian, New York).

    Google Scholar 

  • Mosteller, F. and J. W. Tukey: 1977, Data Analysis and Regression (Addison Wesley, Reading, Massachusetts).

    Google Scholar 

  • Pruzek, R. M. and B. C. Frederick: 1978, ‘Weighting predictors in linear models: alternatives to least squares and limitations of equal weights’, Psychological Bulletin 85, pp. 254–266.

    Google Scholar 

  • Pruzek, R. M. and G. Lepak: 1992, ‘Weighted structural regression: A broad class of adaptive methods for improving linear prediction’, Multivariate Behavioral Research 27, pp. 95–129.

    Google Scholar 

  • Rozeboom, W. W.: 1966, Foundations of the Theory of Prediction (Dorsey Press, Homewood, Illinois).

    Google Scholar 

  • Smith, G. & F. Campbell: 1980, ‘A critique of some ridge regression methods’, Journal of the American Statistical Association 75, pp. 74–80.

    Google Scholar 

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Rabinowitz, S.N., Rule, D. & Pruzek, R.M. Some New Regression Methods for Predictive and Construct Validation. Social Indicators Research 45, 201–232 (1998). https://doi.org/10.1023/A:1006997814616

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