Multidimensional Item Response Theory models for practical application in large tests designed to measure multiple constructs..

Montenegro Díaz, Alvaro Mauricio

Publication:
Multidimensional Item Response Theory models for practical application in large tests designed to measure multiple constructs..

dc.contributor.author	Montenegro Díaz, Alvaro Mauricio
dc.contributor.corporatename	Universidad Nacional de Colombia (Bogotá, Colombia)	spa
dc.contributor.researchgroup	COL0001736 - CT&S - UN
dc.contributor.researchgroup	COL0033739 - INFERENCIA BAYESIANA
dc.coverage.projectdates	2013-2017	spa
dc.date.accessioned	2020-02-26T15:12:29Z
dc.date.accessioned	2020-12-17T21:57:43Z
dc.date.available	2020-02-26T15:12:29Z
dc.date.available	2020-12-17T21:57:43Z
dc.date.issued	2017-06-28
dc.description.abstract	In this project, we propose to extend and spread the Multidimensional Item Response Theory (MIRT) models, by introducing and developing new models, based on some of those developed for the unidimensional case. Furthermore, we will study the problem where one item could be measuring more than one construct. The project has been designed to attack several problems existing when a large test is thought to measure more than one construct, and it is applied to a big population. Examples of such tests are those applied by Unversidad Nacional and ICFES. Specifically, we propose the development of MIRT models for including random effects in the item parameters for modeling the differential functioning of the items in the presence of several populations; the modeling of longitudinal data in the case of multidimensional data in tests that are repeated in the time and the introduction of latent regressions for explaining the responses of multidimensional tests by means of explanatory variables based on available socio-demographic information of the responders. Additionally, we propose the introduction of some statistical descriptive tools for detecting the dimensionality of the latent traits and for confirmatory analysis. We propose not only the theoretically development of the models, but also, their implementation in a package for the R statistical system.	spa
dc.format.extent	36 páginas.	spa
dc.identifier.instname	Colciencias	spa
dc.identifier.reponame	Repositorio Colciencias	spa
dc.identifier.repourl	http://colciencias.metabiblioteca.com.co	spa
dc.identifier.uri	https://colciencias.metadirectorio.org/handle/11146/37867
dc.language.iso	spa	spa
dc.relation.ispartofseries	Informe;
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.rights.accessrights	http://purl.org/coar/access_right/c_abf2	spa
dc.rights.creativecommons	https://creativecommons.org/licenses/by/4.0/	spa
dc.subject.proposal	MIRT models	spa
dc.subject.proposal	Differential functioning	spa
dc.subject.proposal	Latent regression	spa
dc.subject.proposal	Multiple constructs	spa
dc.subject.proposal	Latent models	spa
dc.title	Multidimensional Item Response Theory models for practical application in large tests designed to measure multiple constructs..	spa
dc.type	Informe de investigación	spa
dc.type.coar	http://purl.org/coar/resource_type/c_18ws	spa
dc.type.content	Text	spa
dc.type.driver	info:eu-repo/semantics/report	spa
dc.type.redcol	https://purl.org/redcol/resource_type/PID	spa
dc.type.version	info:eu-repo/semantics/submittedVersion	spa
dc.type.version	http://purl.org/coar/version/c_71e4c1898caa6e32	spa
dc.type.version	info:eu-repo/semantics/submittedVersion	spa
dcterms.audience	Estudiantes, Profesores, Comunidad científica colombiana, etc.	spa
dspace.entity.type	Publication
oaire.awardnumber	110156933802	spa
oaire.fundername	Departamento Administrativo de Ciencia, Tecnología e Innovación [CO] Colciencias	spa
oaire.fundingstream	Programa Nacional en Ciencias Básicas	spa
oaire.objetives	Extending and spread the use of the MIRT models in large test apply by big institutions like ICFES and Universidad Nacional in Colombia.	spa