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Title:On the Use of Mixed -Effects Models for the Analysis of Probability Judgments
Author(s):Johnson, Timothy Robin
Doctoral Committee Chair(s):Budescu, David V.
Department / Program:Psychology
Discipline:Psychology
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Statistics
Abstract:In this dissertation I propose a general statistical modeling framework for the purpose of making inferences concerning the external correspondence (i.e., calibration and discrimination) of probability judgments. The statistical model is based on a new stochastic judgment model which is expressed as a mixed-effects ordinal probit regression model. This model can be used to derive several new model-based measures of external correspondence as well as establishing a means of deriving the sampling/posterior distributions of such measures. Issues of model specification and inference for applied research are discussed in detail. Several detailed examples are given.
Issue Date:2001
Type:Text
Language:English
Description:166 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.
URI:http://hdl.handle.net/2142/82016
Other Identifier(s):(MiAaPQ)AAI3030442
Date Available in IDEALS:2015-09-25
Date Deposited:2001


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