Nonlinear Models of Clinical Judgment: Communal Nonlinearity and Nonlinear Accuracy

Despite our intuition that representative expert judgments are highly nonlinear, previous studies have shown only little, if any, nonlinearity in such judgments. The current study presents a method for assessing nonlinearity in judgment that is based on estimating communal nonlinearity—the systematic nonlinearity shared by the community of judges. The article also examines the predictive accuracy of communal nonlinearity, and compares it with the corresponding linear accuracy.

[1]  Benjamin Czaczkes,et al.  On Detecting Nonlinear Noncompensatory Judgment Strategies: Comparison of Alternative Regression Models , 1995 .

[2]  Paul E. Meehl,et al.  Clinical Versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence , 1996 .

[3]  Lewis R. Goldberg,et al.  Man versus model of man: A rationale, plus some evidence, for a method of improving on clinical inferences. , 1970 .

[4]  R. Dawes,et al.  Linear models in decision making. , 1974 .

[5]  Lewis R. Goldberg,et al.  Five models of clinical judgment: An empirical comparison between linear and nonlinear representations of the human inference process , 1971 .

[6]  A. Tenbrunsel,et al.  Organizational Behavior and Human Decision Processes , 2013 .

[7]  Ganzach Nonlinear Models in Decision Making: The Diagnosis of Psychosis versus Neurosis from the MMPI. , 1998, Organizational behavior and human decision processes.

[8]  E. Weber From Subjective Probabilities to Decision Weights: The Effect of Asymmetric Loss Functions on the Evaluation of Uncertain Outcomes and Events , 1994 .

[9]  Paul E. Meehl,et al.  A comparison of clinicians with five statistical methods of identifying psychotic MMPI profiles. , 1959 .

[10]  Robert J. Meyer,et al.  The Learning of Multiattribute Judgment Policies , 1987 .

[11]  P. E. Johnson,et al.  Multimethod study of clinical judgment. , 1982, Organizational behavior and human performance.

[12]  Paul Slovic,et al.  Comparison of Bayesian and Regression Approaches to the Study of Information Processing in Judgment. , 1971 .

[13]  B. Brehmer,et al.  Chapter 3 What Have we Learned about Human Judgment from Thirty Years of Policy Capturing , 1988 .

[14]  Eric J. Johnson,et al.  Expertise and decision under uncertainty: Performance and process. , 1988 .

[15]  N. Anderson Foundations of information integration theory , 1981 .

[16]  Robert S. Billings,et al.  Measures of compensatory and noncompensatory models of decision behavior: Process tracing versus policy capturing , 1983 .

[17]  Y. Ganzach The weighing of pathological and non-pathological information in clinical judgment. , 2000, Acta psychologica.

[18]  L. R. Goldberg,et al.  DIAGNOSTICIANS VS. DIAGNOSTIC SIGNS: THE DIAGNOSIS OF PSYCHOSIS VS. NEUROSIS FROM THE MMPI. , 1965, Psychological monographs.

[19]  P. Hoffman,et al.  Three models of clinical judgment. , 1968, Journal of abnormal psychology.

[20]  Y. Ganzach,et al.  Nonlinear models of clinical judgment: Meehl's data revisited. , 1995, Psychological bulletin.

[21]  Michael T. Brannick,et al.  Nonlinear and noncompensatory processes in performance evaluation , 1989 .

[22]  Michael H. Birnbaum,et al.  Utility Measurement: Configural-Weight Theory and the Judge's Point of View , 1992 .

[23]  H. J. Einhorn Cue definition and residual judgment. , 1974, Organizational behavior and human performance.