Document Detail


Bayesian Evaluation of Inequality Constrained Hypotheses.
MedLine Citation:
PMID:  25046447     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Bayesian evaluation of inequality constrained hypotheses enables researchers to investigate their expectations with respect to the structure among model parameters. This article proposes an approximate Bayes procedure that can be used for the selection of the best of a set of inequality constrained hypotheses based on the Bayes factor in a very general class of statistical models. The software package BIG is provided such that psychologists can use the approach proposed for the analysis of their own data. To illustrate the approximate Bayes procedure and the use of BIG, we evaluate inequality constrained hypotheses in a path model and a logistic regression model. Two simulation studies on the performance of our approximate Bayes procedure show that it results in accurate Bayes factors. (PsycINFO Database Record (c) 2014 APA, all rights reserved).
Authors:
Xin Gu; Joris Mulder; Maja Deković; Herbert Hoijtink
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-7-21
Journal Detail:
Title:  Psychological methods     Volume:  -     ISSN:  1939-1463     ISO Abbreviation:  Psychol Methods     Publication Date:  2014 Jul 
Date Detail:
Created Date:  2014-7-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9606928     Medline TA:  Psychol Methods     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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