19 found
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Robyn M. Dawes [18]Robyn Mason Dawes [1]
  1.  66
    Linear Models in Decision Making.Robyn M. Dawes & Bernard Corrigan - 1974 - Psychological Bulletin 81 (2):95-106.
    A review of the literature indicates that linear models are frequently used in situations in which decisions are made on the basis of multiple codable inputs. These models are sometimes used normatively to aid the decision maker, as a contrast with the decision maker in the clinical vs statistical controversy, to represent the decision maker "paramorphically" and to "bootstrap" the decision maker by replacing him with his representation. Examination of the contexts in which linear models have been successfully employed indicates (...)
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  2.  79
    The Robust Beauty of Improper Linear Models in Decision Making.Robyn M. Dawes - 1979 - American Psychologist 34 (7):571-582.
    Proper linear models are those in which predictor variables are given weights such that the resulting linear composite optimally predicts some criterion of interest; examples of proper linear models are standard regression analysis, discriminant function analysis, and ridge regression analysis. Research summarized in P. Meehl's book on clinical vs statistical prediction and research stimulated in part by that book indicate that when a numerical criterion variable is to be predicted from numerical predictor variables, proper linear models outperform clinical intuition. Improper (...)
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  3.  2
    House of Cards: Psychology and Psychotherapy Built on Myth.Robyn M. Dawes - 1994
    A critical study of contemporary psychotherapy challenges commonly held assumptions about self-esteem and self-love, among other pop psychology concepts.
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  4.  44
    Selfishness Examined: Cooperation in the Absence of Egoistic Incentives.Linnda R. Caporael, Robyn M. Dawes, John M. Orbell & Alphons J. C. van de Kragt - 1989 - Behavioral and Brain Sciences 12 (4):683-699.
  5.  24
    Is Irrationality Systematic?Robyn M. Dawes - 1983 - Behavioral and Brain Sciences 6 (3):491.
  6.  94
    The Ethics of Using or Not Using Statistical Prediction Rules in Psychological Practice and Related Consulting Activities.Robyn M. Dawes - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S178-S184.
    Professionals often believe that they must “exercise judgment” in making decisions critical to other people’s lives. The relative superiority of statistical prediction rules to intuitive judgment for combining incomparable sources of information to predict important human outcomes leads us to question this personal input belief. Some professionals hence use SPR’s to “educate” intuitive judgment, rather than replace it. In psychology in particular, such amalgamation is not justified. If a well‐validated SPR that is superior to professional judgment exists in a relevant (...)
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  7.  21
    Random Generators, Ganzfelds, Analysis, and Theory.Robyn M. Dawes - 1987 - Behavioral and Brain Sciences 10 (4):581.
  8.  14
    Thagard's Principle 7 and Simpson's Paradox.Robyn M. Dawes - 1989 - Behavioral and Brain Sciences 12 (3):472-473.
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  9.  11
    The Ethics of Using or Not Using Statistical Prediction Rules in Psychological Practice and Related Consulting Activities.Robyn M. Dawes - 2002 - Philosophy of Science 69 (S3):S178-S184.
    Professionals often believe that they must “exercise judgment” in making decisions critical to other people's lives. The relative superiority of statistical prediction rules to intuitive judgment for combining incomparable sources of information to predict important human outcomes leads us to question this personal input belief. Some professionals hence use SPR's to “educate” intuitive judgment, rather than replace it. In psychology in particular, such amalgamation is not justified. If a well-validated SPR that is superior to professional judgment exists in a relevant (...)
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  10.  9
    Monotone Interactions: It's Even Simpler Than That.Robyn M. Dawes - 1990 - Behavioral and Brain Sciences 13 (1):128-129.
  11.  7
    Psychological Measurement.Robyn M. Dawes - 1994 - Psychological Review 101 (2):278-281.
  12.  9
    Thinking in Sociality.Linnda R. Caporael, Robyn M. Dawes, John M. Orbell & Alphons J. C. van de Kragt - 1989 - Behavioral and Brain Sciences 12 (4):727-739.
  13.  27
    The Purpose of Experiments: Ecological Validity Versus Comparing Hypotheses.Robyn M. Dawes - 1996 - Behavioral and Brain Sciences 19 (1):20-20.
  14.  6
    The Logic of S-R Matrices.Robyn Mason Dawes - 1963 - Psychological Review 70 (4):365-368.
  15.  6
    Erratum.Robyn M. Dawes - 1989 - Behavioral and Brain Sciences 12 (1):187-187.
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  16.  33
    A Theory of Irrationality as a `Reasonable' Response to an Incomplete Specification.Robyn M. Dawes - 2000 - Synthese 122 (1-2):133 - 163.
    Suppose the principles explaining how the human mind (brain) reaches logical conclusions and judgments were different from – and independent of – thoseinvolved innormatively valid reasoning. Then such principles should affect both conclusion generation and recognition that particular conclusions are or are not justified. People, however, demonstrate a discrepancy between impaired performance in generating logical conclusions as opposed to rather impressive competence in recognizing rational (versus irrational) ones. This discrepancy is hypothesized to arise from often generating an incomplete specification of (...)
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  17.  6
    Trends Based on Cotton Candy Correlations.Robyn M. Dawes - 1983 - Behavioral and Brain Sciences 6 (2):287-288.
  18.  14
    Subjective Value of the Reinforcer (RSv) and Performance: Crux of the S-R Versus Cognitive Mediation Controversy.Glen O. Sallows, Robyn M. Dawes & Edward Lichtenstein - 1971 - Journal of Experimental Psychology 89 (2):274.
  19.  6
    A Theory Of Irrationality As A ‘Reasonable’ Response To An Incomplete Specification.Robyn M. Dawes - 2000 - Synthese 122 (1):133-163.
    Suppose the principles explaining how the human mind reaches logical conclusions and judgments were different from -- and independent of -- those involved in normatively valid reasoning. Then such principles should affect both conclusion generation and recognition that particular conclusions are or are not justified. People, however, demonstrate a discrepancy between impaired performance in generating logical conclusions as opposed to rather impressive competence in recognizing rational ones. This discrepancy is hypothesized to arise from often generating an incomplete specification of a (...)
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