title: Nonlinear models of clinical judgement: communal nonlinearity and nonlinear accuracy.
abstract: 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.
authors.affiliation: Faculty of Management, Tel Aviv University, Israel. yoavgn@post.tau.ac.il
authors.forename: Y
authors.initials: Y
authors.lastname: Ganzach
mesh_terms: D000328:Adult; D003657:Decision Making; D005260:Female; D006801:Humans; D019545:Intuition; D007600:Judgment; D008297:Male; D009497:Neurotic Disorders / Q000175:diagnosis* / Q000523:psychology; D017711:Nonlinear Dynamics; D010555:Personality Inventory / Q000706:statistics & numerical data; D011594:Psychometrics; D011618:Psychotic Disorders / Q000175:diagnosis* / Q000523:psychology