Adjustment of the Rasch Multidimensional Model, the Rasch Testlet Model and the Cognitive Diagnosis Model to the 2015 Student Census Evaluation Tests
Descripción del Articulo
This study aimed at applying the results of three models: a) the Multidimensional Random Coefficients Multinomial Logit Model, b) the Rasch Testlet Model, and c) the Cognitive Diagnosis Model, and comparing those results to the data generated from the math and reading comprehension tests conducted i...
| Autor: | |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2018 |
| Institución: | Universidad de Lima |
| Repositorio: | Revistas - Universidad de Lima |
| Lenguaje: | español |
| OAI Identifier: | oai:revistas.ulima.edu.pe:article/1991 |
| Enlace del recurso: | https://revistas.ulima.edu.pe/index.php/Persona/article/view/1991 |
| Nivel de acceso: | acceso abierto |
| Materia: | Rasch multidimensional models testlets cognitive diagnostic ECE tests modelos Rasch multidimensionales diagnóstico cognitivo pruebas ECE |
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Adjustment of the Rasch Multidimensional Model, the Rasch Testlet Model and the Cognitive Diagnosis Model to the 2015 Student Census Evaluation TestsAjuste de modelos Rasch multidimensionales, de testlets y de diagnóstico cognitivo a las Pruebas ECE 2015Burga León, AndrésRasch multidimensional modelstestletscognitive diagnosticECE testsmodelos Rasch multidimensionalestestletsdiagnóstico cognitivopruebas ECEThis study aimed at applying the results of three models: a) the Multidimensional Random Coefficients Multinomial Logit Model, b) the Rasch Testlet Model, and c) the Cognitive Diagnosis Model, and comparing those results to the data generated from the math and reading comprehension tests conducted in the 2015 Student Census Evaluation (ECE). The sample consisted of 5,000,000 evaluations of students attending second grade of primary school in educational institutions belonging to the regular basic education program (Minedu, 2009). The results showed that: 1. there is a high correlation between modeled dimensions in the multidimensional model both in the math and reading comprehension tests, 2. it is convenient to apply a one-dimensional model to the data derived from the application of the ECE tests, and 3. there is some consistency between the Rasch Testlet Model and the Cognitive Diagnosis Model.El estudio tuvo como objetivos aplicar y comparar los resultados de los modelos: a) multidimensional logístico multinomial de coeficientes aleatorios, b) Rasch de testlets yc) diagnóstico cognitivo, los datos generados a partir de la aplicación de las pruebas de comprensión lectora y matemática en la Evaluación Censal de Estudiantes 2015. El estudio se realizó con 5 000 000 evaluaciones censales aplicadas a los estudiantes de segundo grado de primaria que asisten a instituciones educativas del programa de educación básica regular (Minedu, 2009). Los resultados indicaron que: 1. el modelo multidimensional, tanto en el caso de la prueba de lectura como la de matemática, las dimensiones modeladas están altamente correlacionas, 2. es pertinente aplicar un modelo unidimensional a los datos derivados de aplicar las pruebas ECE, y 3. existe cierta consistencia entre los modelos Rasch y el Modelo de diagnóstico cognitivo.Universidad de Lima2018-07-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ulima.edu.pe/index.php/Persona/article/view/199110.26439/persona2018.n021.1991Persona; Vol. 21 No. 1 (2018); 81-100Persona; Vol. 21 Núm. 1 (2018); 81-100Persona; v. 21 n. 1 (2018); 81-1002309-90621560-613910.26439/persona2018.n021reponame:Revistas - Universidad de Limainstname:Universidad de Limainstacron:ULIMAspahttps://revistas.ulima.edu.pe/index.php/Persona/article/view/1991/2074https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:revistas.ulima.edu.pe:article/19912025-04-04T21:50:01Z |
| dc.title.none.fl_str_mv |
Adjustment of the Rasch Multidimensional Model, the Rasch Testlet Model and the Cognitive Diagnosis Model to the 2015 Student Census Evaluation Tests Ajuste de modelos Rasch multidimensionales, de testlets y de diagnóstico cognitivo a las Pruebas ECE 2015 |
| title |
Adjustment of the Rasch Multidimensional Model, the Rasch Testlet Model and the Cognitive Diagnosis Model to the 2015 Student Census Evaluation Tests |
| spellingShingle |
Adjustment of the Rasch Multidimensional Model, the Rasch Testlet Model and the Cognitive Diagnosis Model to the 2015 Student Census Evaluation Tests Burga León, Andrés Rasch multidimensional models testlets cognitive diagnostic ECE tests modelos Rasch multidimensionales testlets diagnóstico cognitivo pruebas ECE |
| title_short |
Adjustment of the Rasch Multidimensional Model, the Rasch Testlet Model and the Cognitive Diagnosis Model to the 2015 Student Census Evaluation Tests |
| title_full |
Adjustment of the Rasch Multidimensional Model, the Rasch Testlet Model and the Cognitive Diagnosis Model to the 2015 Student Census Evaluation Tests |
| title_fullStr |
Adjustment of the Rasch Multidimensional Model, the Rasch Testlet Model and the Cognitive Diagnosis Model to the 2015 Student Census Evaluation Tests |
| title_full_unstemmed |
Adjustment of the Rasch Multidimensional Model, the Rasch Testlet Model and the Cognitive Diagnosis Model to the 2015 Student Census Evaluation Tests |
| title_sort |
Adjustment of the Rasch Multidimensional Model, the Rasch Testlet Model and the Cognitive Diagnosis Model to the 2015 Student Census Evaluation Tests |
| dc.creator.none.fl_str_mv |
Burga León, Andrés |
| author |
Burga León, Andrés |
| author_facet |
Burga León, Andrés |
| author_role |
author |
| dc.subject.none.fl_str_mv |
Rasch multidimensional models testlets cognitive diagnostic ECE tests modelos Rasch multidimensionales testlets diagnóstico cognitivo pruebas ECE |
| topic |
Rasch multidimensional models testlets cognitive diagnostic ECE tests modelos Rasch multidimensionales testlets diagnóstico cognitivo pruebas ECE |
| description |
This study aimed at applying the results of three models: a) the Multidimensional Random Coefficients Multinomial Logit Model, b) the Rasch Testlet Model, and c) the Cognitive Diagnosis Model, and comparing those results to the data generated from the math and reading comprehension tests conducted in the 2015 Student Census Evaluation (ECE). The sample consisted of 5,000,000 evaluations of students attending second grade of primary school in educational institutions belonging to the regular basic education program (Minedu, 2009). The results showed that: 1. there is a high correlation between modeled dimensions in the multidimensional model both in the math and reading comprehension tests, 2. it is convenient to apply a one-dimensional model to the data derived from the application of the ECE tests, and 3. there is some consistency between the Rasch Testlet Model and the Cognitive Diagnosis Model. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018-07-25 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.ulima.edu.pe/index.php/Persona/article/view/1991 10.26439/persona2018.n021.1991 |
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https://revistas.ulima.edu.pe/index.php/Persona/article/view/1991 |
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10.26439/persona2018.n021.1991 |
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spa |
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spa |
| dc.relation.none.fl_str_mv |
https://revistas.ulima.edu.pe/index.php/Persona/article/view/1991/2074 |
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https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad de Lima |
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Universidad de Lima |
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Persona; Vol. 21 No. 1 (2018); 81-100 Persona; Vol. 21 Núm. 1 (2018); 81-100 Persona; v. 21 n. 1 (2018); 81-100 2309-9062 1560-6139 10.26439/persona2018.n021 reponame:Revistas - Universidad de Lima instname:Universidad de Lima instacron:ULIMA |
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Universidad de Lima |
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ULIMA |
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ULIMA |
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Revistas - Universidad de Lima |
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Revistas - Universidad de Lima |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
