A bayesian solution for the law of categorical judgment with category boundary variability and examination of robustness to model violations

A bayesian solution for the law of categorical judgment with category boundary variability and examination of robustness to model violations

Previous solutions for the the Law of Categorical Judgment with category boundary variability have either constrained the standard deviations of the category boundaries in some way or have violated the assumptions of the scaling model. In the current work, a fully Bayesian Markov chain Monte Carlo s...

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Bibliographic Details
Main Author: King, David R.
Other Authors: Roberts, James S.
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2015
Subjects:
Scaling
Measurement
Thurstone
Bayesian estimation
MCMC
Simulation study
Law of categorical judgment
Method of successive intervals
Signal detection theory
Online Access:http://hdl.handle.net/1853/52960

Internet

http://hdl.handle.net/1853/52960

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