A Bayesian random weights linear logistic test model for within-test practice effects
The present paper introduces a random weights linear logistic test model for the measurement of individual differences in operation-specific practice effects within a single administration of a test. The proposed model is an extension of the linear logistic test model of learning developed by Spada...
| Autores: | , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Recursos: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/712415 |
| Acesso em linha: | http://hdl.handle.net/10486/712415 https://dx.doi.org/10.1177/01466216231209752 |
| Access Level: | acceso abierto |
| Palavra-chave: | ability to learn linear logistic test model Markov chain Monte Carlo random effects learning models Psicología |
| id |
ES_2d112bc621d478fa5bf800cef84f0ce7 |
|---|---|
| oai_identifier_str |
oai:repositorio.uam.es:10486/712415 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
A Bayesian random weights linear logistic test model for within-test practice effectsLozano Bleda, José HéctorRevuelta Menéndez, Javierability to learnlinear logistic test modelMarkov chain Monte Carlorandom effectslearning modelsPsicologíaThe present paper introduces a random weights linear logistic test model for the measurement of individual differences in operation-specific practice effects within a single administration of a test. The proposed model is an extension of the linear logistic test model of learning developed by Spada (1977) in which the practice effects are considered random effects varying across examinees. A Bayesian framework was used for model estimation and evaluation. A simulation study was conducted to examine the behavior of the model in combination with the Bayesian procedures. The results demonstrated the good performance of the estimation and evaluation methods. Additionally, an empirical study was conducted to illustrate the applicability of the model to real data. The model was applied to a sample of responses from a logical ability test providing evidence of individual differences in operation-specific practice effectsThis work was supported by the Ministerio de Ciencia, Innovación y Universidades (PID2021-124885NB-I00). The computations were run with the support of the Scientific Computing Centre at Universidad Autónoma de Madrid (CCC-UAM)SageDepartamento de Psicología Social y MetodologíaFacultad de Psicología20232023-11-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/712415https://dx.doi.org/10.1177/01466216231209752reponame: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:10486/7124152026-06-23T12:46:27Z |
| dc.title.none.fl_str_mv |
A Bayesian random weights linear logistic test model for within-test practice effects |
| title |
A Bayesian random weights linear logistic test model for within-test practice effects |
| spellingShingle |
A Bayesian random weights linear logistic test model for within-test practice effects Lozano Bleda, José Héctor ability to learn linear logistic test model Markov chain Monte Carlo random effects learning models Psicología |
| title_short |
A Bayesian random weights linear logistic test model for within-test practice effects |
| title_full |
A Bayesian random weights linear logistic test model for within-test practice effects |
| title_fullStr |
A Bayesian random weights linear logistic test model for within-test practice effects |
| title_full_unstemmed |
A Bayesian random weights linear logistic test model for within-test practice effects |
| title_sort |
A Bayesian random weights linear logistic test model for within-test practice effects |
| dc.creator.none.fl_str_mv |
Lozano Bleda, José Héctor Revuelta Menéndez, Javier |
| author |
Lozano Bleda, José Héctor |
| author_facet |
Lozano Bleda, José Héctor Revuelta Menéndez, Javier |
| author_role |
author |
| author2 |
Revuelta Menéndez, Javier |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Departamento de Psicología Social y Metodología Facultad de Psicología |
| dc.subject.none.fl_str_mv |
ability to learn linear logistic test model Markov chain Monte Carlo random effects learning models Psicología |
| topic |
ability to learn linear logistic test model Markov chain Monte Carlo random effects learning models Psicología |
| description |
The present paper introduces a random weights linear logistic test model for the measurement of individual differences in operation-specific practice effects within a single administration of a test. The proposed model is an extension of the linear logistic test model of learning developed by Spada (1977) in which the practice effects are considered random effects varying across examinees. A Bayesian framework was used for model estimation and evaluation. A simulation study was conducted to examine the behavior of the model in combination with the Bayesian procedures. The results demonstrated the good performance of the estimation and evaluation methods. Additionally, an empirical study was conducted to illustrate the applicability of the model to real data. The model was applied to a sample of responses from a logical ability test providing evidence of individual differences in operation-specific practice effects |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 2023-11-01 |
| dc.type.none.fl_str_mv |
research article http://purl.org/coar/resource_type/c_2df8fbb1 AM http://purl.org/coar/version/c_ab4af688f83e57aa |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10486/712415 https://dx.doi.org/10.1177/01466216231209752 |
| url |
http://hdl.handle.net/10486/712415 https://dx.doi.org/10.1177/01466216231209752 |
| 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.publisher.none.fl_str_mv |
Sage |
| publisher.none.fl_str_mv |
Sage |
| 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 |
|
| _version_ |
1869405284947984384 |
| score |
15,301603 |