Bayesian methods in psychological research: the case of IRT.

Bayesian methods in psychological research: the case of IRT.

Bayesian methods have become increasingly popular in social sciences due to its flexibility in accommodating numerous models from different fields. The domain of item response theory is a good example of fruitful research, incorporating in the lasts years new developments and models, which are being...

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Autor principal: Jorge González Burgos
Formato: article
Lenguaje:EN
ES
Publicado: Universidad de San Buenaventura 2010
Materias:
Item response theory models
Bayesian Inference
WinBUGS
Psychology
BF1-990
Acceso en línea:https://doaj.org/article/3df072a5f30b444b9695cf731bf23a77
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spelling oai:doaj.org-article:3df072a5f30b444b9695cf731bf23a772021-11-25T02:23:57ZBayesian methods in psychological research: the case of IRT.10.21500/20112084.8612011-20842011-7922https://doaj.org/article/3df072a5f30b444b9695cf731bf23a772010-06-01T00:00:00Zhttps://revistas.usb.edu.co/index.php/IJPR/article/view/861https://doaj.org/toc/2011-2084https://doaj.org/toc/2011-7922Bayesian methods have become increasingly popular in social sciences due to its flexibility in accommodating numerous models from different fields. The domain of item response theory is a good example of fruitful research, incorporating in the lasts years new developments and models, which are being estimated using the Bayesian approach. This is partly because of the availability of free software such as WinBUGS and R, which has permitted researchers to explore new possibilities. In this paper we outline the Bayesian inference for some IRT models. It is briefly explained how the Bayesian method works. The implementation of Bayesian estimation in conventional software is discussed and sets of codes for running the analyses are provided. All the applications are exemplified using simulated and real data sets.Jorge González BurgosUniversidad de San BuenaventuraarticleItem response theory modelsBayesian InferenceWinBUGSPsychologyBF1-990ENESInternational Journal of Psychological Research, Vol 3, Iss 1 (2010)
institution DOAJ
collection DOAJ
language EN
ES
topic Item response theory models
Bayesian Inference
WinBUGS
Psychology
BF1-990
spellingShingle Item response theory models
Bayesian Inference
WinBUGS
Psychology
BF1-990
Jorge González Burgos
Bayesian methods in psychological research: the case of IRT.
description Bayesian methods have become increasingly popular in social sciences due to its flexibility in accommodating numerous models from different fields. The domain of item response theory is a good example of fruitful research, incorporating in the lasts years new developments and models, which are being estimated using the Bayesian approach. This is partly because of the availability of free software such as WinBUGS and R, which has permitted researchers to explore new possibilities. In this paper we outline the Bayesian inference for some IRT models. It is briefly explained how the Bayesian method works. The implementation of Bayesian estimation in conventional software is discussed and sets of codes for running the analyses are provided. All the applications are exemplified using simulated and real data sets.
format article
author Jorge González Burgos
author_facet Jorge González Burgos
author_sort Jorge González Burgos
title Bayesian methods in psychological research: the case of IRT.
title_short Bayesian methods in psychological research: the case of IRT.
title_full Bayesian methods in psychological research: the case of IRT.
title_fullStr Bayesian methods in psychological research: the case of IRT.
title_full_unstemmed Bayesian methods in psychological research: the case of IRT.
title_sort bayesian methods in psychological research: the case of irt.
publisher Universidad de San Buenaventura
publishDate 2010
url https://doaj.org/article/3df072a5f30b444b9695cf731bf23a77
work_keys_str_mv AT jorgegonzalezburgos bayesianmethodsinpsychologicalresearchthecaseofirt
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