Rendimiento académico: ¿qué papel juegan los factores institucionales?
This paper examines which is the relationship between institutional factors and the academic achievement in mathematics. To reach this purpose, 1,653 students who had taken the test in 2010 and who came from 44 high schools in Medellin, Colombia were selected. The econometric estimate was conducted...
- Autores:
-
Montes, Isabel
Garcés, José David
Chica, Sandra Milena
Jaramillo, Alberto
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/2687
- Acceso en línea:
- http://hdl.handle.net/10784/2687
- Palabra clave:
- academic achievement
institutional factors
Hierarchical Linear Models
Rendimiento académico
factores institucionales
modelos lineales jerárquicos
- Rights
- License
- Acceso abierto
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oai:repository.eafit.edu.co:10784/2687 |
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|
dc.title.spa.fl_str_mv |
Rendimiento académico: ¿qué papel juegan los factores institucionales? |
title |
Rendimiento académico: ¿qué papel juegan los factores institucionales? |
spellingShingle |
Rendimiento académico: ¿qué papel juegan los factores institucionales? academic achievement institutional factors Hierarchical Linear Models Rendimiento académico factores institucionales modelos lineales jerárquicos |
title_short |
Rendimiento académico: ¿qué papel juegan los factores institucionales? |
title_full |
Rendimiento académico: ¿qué papel juegan los factores institucionales? |
title_fullStr |
Rendimiento académico: ¿qué papel juegan los factores institucionales? |
title_full_unstemmed |
Rendimiento académico: ¿qué papel juegan los factores institucionales? |
title_sort |
Rendimiento académico: ¿qué papel juegan los factores institucionales? |
dc.creator.fl_str_mv |
Montes, Isabel Garcés, José David Chica, Sandra Milena Jaramillo, Alberto |
dc.contributor.eafitauthor.none.fl_str_mv |
imontesg@eafit.edu.co jgarces3@eafit.edu.co smchica@gmail.com ajarami@eafit.edu.co |
dc.contributor.author.none.fl_str_mv |
Montes, Isabel Garcés, José David Chica, Sandra Milena Jaramillo, Alberto |
dc.subject.keyword.eng.fl_str_mv |
academic achievement institutional factors Hierarchical Linear Models |
topic |
academic achievement institutional factors Hierarchical Linear Models Rendimiento académico factores institucionales modelos lineales jerárquicos |
dc.subject.keyword.spa.fl_str_mv |
Rendimiento académico factores institucionales modelos lineales jerárquicos |
description |
This paper examines which is the relationship between institutional factors and the academic achievement in mathematics. To reach this purpose, 1,653 students who had taken the test in 2010 and who came from 44 high schools in Medellin, Colombia were selected. The econometric estimate was conducted by means of Hierarchical Linear Model (HLM), which its independent variables were classified in two levels: student and institution. Our main results provide evidence to support that 31.4% of educational attainment in mathematics is explained by institutional variables such as the number of hours in math class, to belong to private schools and with a unique gender, the use of textbook and the school size. |
publishDate |
2014 |
dc.date.available.none.fl_str_mv |
2014-06-17T22:32:09Z |
dc.date.issued.none.fl_str_mv |
2014-06-16 |
dc.date.accessioned.none.fl_str_mv |
2014-06-17T22:32:09Z |
dc.type.eng.fl_str_mv |
workingPaper info:eu-repo/semantics/workingPaper |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_8042 |
dc.type.local.spa.fl_str_mv |
Documento de trabajo de investigación |
dc.type.hasVersion.eng.fl_str_mv |
draft |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/2687 |
dc.identifier.jel.none.fl_str_mv |
I20 I21 I28 |
url |
http://hdl.handle.net/10784/2687 |
identifier_str_mv |
I20 I21 I28 |
dc.language.iso.eng.fl_str_mv |
spa |
language |
spa |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
rights_invalid_str_mv |
Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.coverage.spatial.eng.fl_str_mv |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
dc.publisher.department.spa.fl_str_mv |
Escuela de Economía y Finanzas |
institution |
Universidad EAFIT |
bitstream.url.fl_str_mv |
https://repository.eafit.edu.co/bitstreams/cc1afcd3-4227-4d03-8f4b-8b85ca6b6213/download https://repository.eafit.edu.co/bitstreams/f20a80e3-a33f-4085-a0d4-faa0e4123eab/download |
bitstream.checksum.fl_str_mv |
a4a15015cc3b57a4390e89906678ba6e cb50dcd1828c94b0fa93884102143460 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
_version_ |
1814110142197661696 |
spelling |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2014-06-17T22:32:09Z2014-06-162014-06-17T22:32:09Zhttp://hdl.handle.net/10784/2687I20I21I28This paper examines which is the relationship between institutional factors and the academic achievement in mathematics. To reach this purpose, 1,653 students who had taken the test in 2010 and who came from 44 high schools in Medellin, Colombia were selected. The econometric estimate was conducted by means of Hierarchical Linear Model (HLM), which its independent variables were classified in two levels: student and institution. Our main results provide evidence to support that 31.4% of educational attainment in mathematics is explained by institutional variables such as the number of hours in math class, to belong to private schools and with a unique gender, the use of textbook and the school size.El presente artículo examina cuáles son los factores institucionales que tienen relación con el rendimiento académico en matemáticas. Para ello se tomó un corte transversal de 1653 estudiantes que presentaron el examen de Estado de la educación media (Saber 11) en el 2010, provenientes de 44 instituciones educativas de la ciudad de Medellín - Colombia. La estimación se hizo por medio de un Modelo Lineal Jerárquico cuyas variables independientes se clasificaron en dos niveles: estudiante e institución. Los principales resultados evidencian que el 31,4% del rendimiento de los estudiantes en matemáticas es explicado por variables institucionales como el número de horas de matemáticas, el pertenecer a colegios privados y de un solo género, el uso de texto guía y el tamaño del colegio.spaUniversidad EAFITEscuela de Economía y FinanzasRendimiento académico: ¿qué papel juegan los factores institucionales?workingPaperinfo:eu-repo/semantics/workingPaperDocumento de trabajo de investigacióndrafthttp://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_8042Acceso abiertohttp://purl.org/coar/access_right/c_abf2academic achievementinstitutional factorsHierarchical Linear ModelsRendimiento académicofactores institucionalesmodelos lineales jerárquicosimontesg@eafit.edu.cojgarces3@eafit.edu.cosmchica@gmail.comajarami@eafit.edu.coMontes, IsabelGarcés, José DavidChica, Sandra MilenaJaramillo, AlbertoLICENSElicense.txtlicense.txttext/plain; charset=utf-81145https://repository.eafit.edu.co/bitstreams/cc1afcd3-4227-4d03-8f4b-8b85ca6b6213/downloada4a15015cc3b57a4390e89906678ba6eMD52ORIGINAL2014_14_Alberto_Jaramillo.pdf2014_14_Alberto_Jaramillo.pdfDocumento de trabajo de investigaciónapplication/pdf1592206https://repository.eafit.edu.co/bitstreams/f20a80e3-a33f-4085-a0d4-faa0e4123eab/downloadcb50dcd1828c94b0fa93884102143460MD5310784/2687oai:repository.eafit.edu.co:10784/26872024-03-05 14:06:01.044open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.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 |