Advances in Cognitive Diagnosis Modeling

Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Psicología, Departamento de Psicología Social y Metodología. Fecha de lectura: 27-04-2018

Detalhes bibliográficos
Autor: Sorrel Luján, Miguel Ángel
Formato: tesis doctoral
Fecha de publicación:2018
País:España
Recursos:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/682712
Acesso em linha:http://hdl.handle.net/10486/682712
Access Level:acceso abierto
Palavra-chave:Psicometría - Proceso de datos - Tesis doctorales
Psicología
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spelling Advances in Cognitive Diagnosis ModelingSorrel Luján, Miguel ÁngelPsicometría - Proceso de datos - Tesis doctoralesPsicologíaTesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Psicología, Departamento de Psicología Social y Metodología. Fecha de lectura: 27-04-2018Esta tesis tiene embargado el acceso al texto completo hasta el 27-10-2019Cognitive diagnosis models (CDMs) have shown a rapid development over the past decades. This set of restricted latent class models is the basis for a new psychometric framework where the dimensions underlying performance on the tests are assumed to be discrete. Notwithstanding the progress achieved, some aspects have not been fully explored. It is for this reason that this dissertation aims to contribute in three directions. (1) Broadening the area of application of CDMs. Empirical data is used to illustrate how CDMs provide a new approach that not only overcomes the limitations of the conventional methods for assessing the validity and reliability of situational judgment tests (SJTs) scores, but that also allows for a deeper understanding on what SJTs really measure. The data set comes from an application of a SJT that presents situations about student-related issues. (2) Evaluating item-level model fit statistics. Factors such as generating model, test length, sample size, item quality, and correlational structure are considered in two different Monte Carlo studies. The performance of several statistics and different strategies to cope with poor-quality data are discussed. Additionally, the two-step likelihood ratio test is introduced as a new index for item-level model comparison. (3) Introducing model comparison as a way of improving cognitive diagnosis computerized adaptive testing (CD-CAT) applications. Accuracy and item usage of a CD-CAT based on the combination of models selected with the new item-level model comparison statistic are explored under different calibration sample size, Q-matrix complexity, and item bank length conditions using Monte Carlo methods. The advantages of this approach over the application of a single reduced CDM or a general model are discussed. In general, the results of the studies included in this dissertation can be the basis for more reliable assessments and indicate the importance of selecting an appropriate psychometric framework. Item-level model selection emerges as a new and promising strategy to make the best of our data that can be generalized to other psychometric frameworks such as traditional item response theory.Olea Diaz, Julio AlbertoAbad García, Francisco JoséDepartamento de Psicología Social y MetodologíaFacultad de Psicología20182018-04-27doctoral thesishttp://purl.org/coar/resource_type/c_db06NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/doctoralThesisapplication/pdfhttp://hdl.handle.net/10486/682712reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/6827122026-06-23T12:46:27Z
dc.title.none.fl_str_mv Advances in Cognitive Diagnosis Modeling
title Advances in Cognitive Diagnosis Modeling
spellingShingle Advances in Cognitive Diagnosis Modeling
Sorrel Luján, Miguel Ángel
Psicometría - Proceso de datos - Tesis doctorales
Psicología
title_short Advances in Cognitive Diagnosis Modeling
title_full Advances in Cognitive Diagnosis Modeling
title_fullStr Advances in Cognitive Diagnosis Modeling
title_full_unstemmed Advances in Cognitive Diagnosis Modeling
title_sort Advances in Cognitive Diagnosis Modeling
dc.creator.none.fl_str_mv Sorrel Luján, Miguel Ángel
author Sorrel Luján, Miguel Ángel
author_facet Sorrel Luján, Miguel Ángel
author_role author
dc.contributor.none.fl_str_mv Olea Diaz, Julio Alberto
Abad García, Francisco José
Departamento de Psicología Social y Metodología
Facultad de Psicología
dc.subject.none.fl_str_mv Psicometría - Proceso de datos - Tesis doctorales
Psicología
topic Psicometría - Proceso de datos - Tesis doctorales
Psicología
description Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Psicología, Departamento de Psicología Social y Metodología. Fecha de lectura: 27-04-2018
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-04-27
dc.type.none.fl_str_mv doctoral thesis
http://purl.org/coar/resource_type/c_db06
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/682712
url http://hdl.handle.net/10486/682712
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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