Componentes de dificultad de tareas de razonamiento deductivo aplicando el modelo LLTM de Fischer
Syllogistic reasoning is an important part of deductive reasoning. In cognitive psychology, the analysis of error sources in solving syllogisms produced explanations such as the atmosphere effect, figure bias and wrong conversion. The Fischer Linear Logistic Test Model (LLTM) was fitted on a set of...
- Autores:
-
Galibert, María Silvia
Abal, Facundo
Auné, Sofía
Lozzia, Gabriela Susana
Aguerri, María Ester
- Tipo de recurso:
- Fecha de publicación:
- 2015
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Repositorio Institucional USTA
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/40364
- Acceso en línea:
- https://revistas.usantotomas.edu.co/index.php/diversitas/article/view/2676
http://hdl.handle.net/11634/40364
- Palabra clave:
- syllogism
deductive reasoning
cognitive psychology
Rasch model
LLTM model.
silogismo
razonamiento deductivo
psicología cognitiva
modelo de Rasch
modelo LLTM.
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
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Galibert, María SilviaAbal, FacundoAuné, SofíaLozzia, Gabriela SusanaAguerri, María Ester2022-01-18T16:47:05Z2022-01-18T16:47:05Z2015-07-01https://revistas.usantotomas.edu.co/index.php/diversitas/article/view/2676http://hdl.handle.net/11634/40364Syllogistic reasoning is an important part of deductive reasoning. In cognitive psychology, the analysis of error sources in solving syllogisms produced explanations such as the atmosphere effect, figure bias and wrong conversion. The Fischer Linear Logistic Test Model (LLTM) was fitted on a set of syllogisms in order to identify their difficulty components and estimate their effects. Forty six items were administered with a link design to three groups of 1074 university students. The task consisted in choosing, for each pair of premises, one conclusion scheme and complete it with the suitable terms, if a valid conclusion existed; otherwise, examinees had to select the option of no valid conclusion. The Rasch model was fitted to a subset of 20 syllogisms on which Fischer’s LLTM was applied. Four components were identified that increase syllogistic difficulty: atmosphere effect, figure bias (when they follow the opposite direction of the conclusion or when there is no valid conclusion), figure II and figure III. Two components were found that make the task easier: reversibility of conclusion (universal negative and particular affirmative modes) and lack of valid conclusion. Linear correlation between the estimates of difficulty parameters obtained with Rasch and LLTM models was .96.El razonamiento silogístico es parte importante del razonamiento deductivo. El análisis de las fuentes de error en la resolución de silogismos originó, dentro de la psicología cognitiva, explicaciones como el efecto atmósfera, el sesgo de la figura y la conversión ilícita. En este trabajo se ajustó el modelo LLTM de Fischer para identificar componentes de dificultad de silogismos y estimar sus efectos. Se administraron 46 ítems con un diseño de enlace a tres grupos, con un total de 1074 estudiantes universitarios. Para cada par de premisas se debía escoger un esquema de conclusión y completarlo con los términos extremos o reconocer la falta de conclusión válida. El modelo de Rasch se ajustó sobre un subconjunto de 20 silogismos y se aplicó el modelo LLTM de Fischer. Se identificaron, aumentando la dificultad, cuatro componentes: efecto atmósfera y sesgo de figura (cuando éstos están en dirección contraria a la conclusión o no hay conclusión válida), figura II y figura III. El carácter reversible de la conclusión (modos universal negativo y particular afirmativo) y la falta de conclusión válida fueron componentes facilitadores. La correlación entre las estimaciones de los parámetros de dificultad bajo el modelo de Rasch y el LLTM fue 0,96.application/pdftext/htmlspaUniversidad Santo Tomás, Bogotá, Colombiahttps://revistas.usantotomas.edu.co/index.php/diversitas/article/view/2676/2594https://revistas.usantotomas.edu.co/index.php/diversitas/article/view/2676/264810.15332/s1794-9998.2015.0002.05Diversitas; Vol. 11 Núm. 2 (2015); 235-243Diversitas; Vol. 11 No. 2 (2015); 235-2432256-30671794-9998Componentes de dificultad de tareas de razonamiento deductivo aplicando el modelo LLTM de FischerDifficulty components of deductive reasoning tasks by applying Fischer’s LLTM modelArtículo revisado por paresinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1syllogismdeductive reasoningcognitive psychologyRasch modelLLTM model.silogismorazonamiento deductivopsicología cognitivamodelo de Raschmodelo LLTM.http://purl.org/coar/access_right/c_abf211634/40364oai:repository.usta.edu.co:11634/403642023-07-14 16:02:09.891metadata only accessRepositorio Universidad Santo Tomásnoreply@usta.edu.co |
dc.title.spa.fl_str_mv |
Componentes de dificultad de tareas de razonamiento deductivo aplicando el modelo LLTM de Fischer |
dc.title.alternative.eng.fl_str_mv |
Difficulty components of deductive reasoning tasks by applying Fischer’s LLTM model |
title |
Componentes de dificultad de tareas de razonamiento deductivo aplicando el modelo LLTM de Fischer |
spellingShingle |
Componentes de dificultad de tareas de razonamiento deductivo aplicando el modelo LLTM de Fischer syllogism deductive reasoning cognitive psychology Rasch model LLTM model. silogismo razonamiento deductivo psicología cognitiva modelo de Rasch modelo LLTM. |
title_short |
Componentes de dificultad de tareas de razonamiento deductivo aplicando el modelo LLTM de Fischer |
title_full |
Componentes de dificultad de tareas de razonamiento deductivo aplicando el modelo LLTM de Fischer |
title_fullStr |
Componentes de dificultad de tareas de razonamiento deductivo aplicando el modelo LLTM de Fischer |
title_full_unstemmed |
Componentes de dificultad de tareas de razonamiento deductivo aplicando el modelo LLTM de Fischer |
title_sort |
Componentes de dificultad de tareas de razonamiento deductivo aplicando el modelo LLTM de Fischer |
dc.creator.fl_str_mv |
Galibert, María Silvia Abal, Facundo Auné, Sofía Lozzia, Gabriela Susana Aguerri, María Ester |
dc.contributor.author.none.fl_str_mv |
Galibert, María Silvia Abal, Facundo Auné, Sofía Lozzia, Gabriela Susana Aguerri, María Ester |
dc.subject.proposal.eng.fl_str_mv |
syllogism deductive reasoning cognitive psychology Rasch model LLTM model. |
topic |
syllogism deductive reasoning cognitive psychology Rasch model LLTM model. silogismo razonamiento deductivo psicología cognitiva modelo de Rasch modelo LLTM. |
dc.subject.proposal.spa.fl_str_mv |
silogismo razonamiento deductivo psicología cognitiva modelo de Rasch modelo LLTM. |
description |
Syllogistic reasoning is an important part of deductive reasoning. In cognitive psychology, the analysis of error sources in solving syllogisms produced explanations such as the atmosphere effect, figure bias and wrong conversion. The Fischer Linear Logistic Test Model (LLTM) was fitted on a set of syllogisms in order to identify their difficulty components and estimate their effects. Forty six items were administered with a link design to three groups of 1074 university students. The task consisted in choosing, for each pair of premises, one conclusion scheme and complete it with the suitable terms, if a valid conclusion existed; otherwise, examinees had to select the option of no valid conclusion. The Rasch model was fitted to a subset of 20 syllogisms on which Fischer’s LLTM was applied. Four components were identified that increase syllogistic difficulty: atmosphere effect, figure bias (when they follow the opposite direction of the conclusion or when there is no valid conclusion), figure II and figure III. Two components were found that make the task easier: reversibility of conclusion (universal negative and particular affirmative modes) and lack of valid conclusion. Linear correlation between the estimates of difficulty parameters obtained with Rasch and LLTM models was .96. |
publishDate |
2015 |
dc.date.issued.none.fl_str_mv |
2015-07-01 |
dc.date.accessioned.none.fl_str_mv |
2022-01-18T16:47:05Z |
dc.date.available.none.fl_str_mv |
2022-01-18T16:47:05Z |
dc.type.spa.fl_str_mv |
Artículo revisado por pares |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.drive.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.identifier.none.fl_str_mv |
https://revistas.usantotomas.edu.co/index.php/diversitas/article/view/2676 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/11634/40364 |
url |
https://revistas.usantotomas.edu.co/index.php/diversitas/article/view/2676 http://hdl.handle.net/11634/40364 |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistas.usantotomas.edu.co/index.php/diversitas/article/view/2676/2594 https://revistas.usantotomas.edu.co/index.php/diversitas/article/view/2676/2648 10.15332/s1794-9998.2015.0002.05 |
dc.relation.citationissue.spa.fl_str_mv |
Diversitas; Vol. 11 Núm. 2 (2015); 235-243 |
dc.relation.citationissue.eng.fl_str_mv |
Diversitas; Vol. 11 No. 2 (2015); 235-243 |
dc.relation.citationissue.none.fl_str_mv |
2256-3067 1794-9998 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf text/html |
dc.publisher.spa.fl_str_mv |
Universidad Santo Tomás, Bogotá, Colombia |
institution |
Universidad Santo Tomás |
repository.name.fl_str_mv |
Repositorio Universidad Santo Tomás |
repository.mail.fl_str_mv |
noreply@usta.edu.co |
_version_ |
1782026088138932224 |