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...

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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.
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License
http://purl.org/coar/access_right/c_abf2
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network_name_str Repositorio Institucional USTA
repository_id_str
spelling 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
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