Titulo:

El modelo de Rasch : una alternativa para la evaluación educativa en Colombia.
.

Sumario:

This paper shows the historical development of the Psychological Testing in Colombia, the State Exam, some of the problems that this discipline has worked in this country, the main problems and weaknesses of the Test Classic Theory and the alternative answers that offers the Item Response Theory (TRI). It presents the models of the TRI, the 3-Param- eters and the Rasch, and two computer programs (BILOG-MG and WINSTEPS) that pro­cesses information based on these models. Finally, it points out the advantages of the Rasch related to its power as a mathematical model as well as its practical applicability in the educational measurement.  

Guardado en:

0123-9155

1909-9711

2001-01-01

9

21

Carlos A. Pardo Adames - 2001

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spelling El modelo de Rasch : una alternativa para la evaluación educativa en Colombia.
El modelo de Rasch : una alternativa para la evaluación educativa en Colombia.
This paper shows the historical development of the Psychological Testing in Colombia, the State Exam, some of the problems that this discipline has worked in this country, the main problems and weaknesses of the Test Classic Theory and the alternative answers that offers the Item Response Theory (TRI). It presents the models of the TRI, the 3-Param- eters and the Rasch, and two computer programs (BILOG-MG and WINSTEPS) that pro­cesses information based on these models. Finally, it points out the advantages of the Rasch related to its power as a mathematical model as well as its practical applicability in the educational measurement.  
Pardo Adames, Carlos A.
Measurement
Assessment
Item reponse theory
Rasch model
Psychological testing
State exam
Test classic theory
5
Artículo de revista
Journal article
2001-01-01T00:00:00Z
2001-01-01T00:00:00Z
2001-01-01
application/pdf
Universidad Católica de Colombia
Acta Colombiana de Psicología
0123-9155
1909-9711
https://actacolombianapsicologia.ucatolica.edu.co/article/view/587
https://actacolombianapsicologia.ucatolica.edu.co/article/view/587
spa
https://creativecommons.org/licenses/by-nc-sa/4.0/
Carlos A. Pardo Adames - 2001
9
21
Andersen, E. 1980. Discrete Statistical Models With Social Science Applications. North- Holland publishing company,
Amsterdam. Choppin, B. 1985. «Bruce Choppin on measurement an education». Evaluation in Education: An International Review series, 9,# l.
Embretson, S. Y Hershberger, s. 1999. The New Rules of Measurement: what every psycho- logistand educator should know. Lawrence Earlbaum Associates. New Jersey.
Fischer, G. y Molenaar, I. 1995. Rasch Models: foundations, recent developments and applications. Springer-Verlag. New York.
Haladyna, T. y Roid, G. 1983. Acomparison of two approaches to criterion referenced test construction. Journal of Educational Measurement, 20, pp. 271-282.
Hambleton, R., Cook, L. Latent trait models and their use in the analysis of educational test data. Journal of Educational Measurement, 14, pp. 75-96 1977.
Hambleton, R., Gruijter, D. 1983. Application of item response models to criterion-refer-enced test item selection. Journal of Educational Measurement, 20, pp. 355-367.
Hambleton, R. y Swaminathan, H. 1996. Item Response Theory: principies and applications. Kluwer-Nijhoff Publishing. Boston.
Holmes, S. 1982. Unidimensionality and vertical equating with the Rasch model. Journal of Educational Measurement, 19, pp. 139- 147.
Linacre, J. Y Wright, B. 2000. A User's Guide to WINSTEPS. MESA press. Chicago.
Lord, F. Y Novick, M. 1968. Statistical Theories of Mental Test Scores. Addison-Wesley.
Marco, G. Item characteristic curve Solutions to three intractable testing problems, Journal of Educational Measurement, 14, pp. 139-160.
Mehrens, W. Y Lehmann, I. 1982. Medición y Evaluación en la Educación y en la Psicología. CECSA. México.
Novick, M. Y Jackson, P. 1974. Statistical Methods for Educational and Psychological Research. McGraw Hill.
Pardo. C. 1999. Transformaciones en las Pruebas para Obtener Resultados Diferentes. Serie: Nuevo Examen de estado Cambios para el Siglo XXL ICFES. Bogotá.
Thorndike, R. 1989. Psicometría aplicada. Limusa, México.
Van Der Linden, W. 1982. Criterion-referenced measurement: its main applications, problems and fading’s. Evaluation in education, t, pp. 97-118.
Wright, B. 1992. IRTin the 1990s: Which Models Work Best?. En: Rasch Measurement Transactions. Vol. 6 N° 1 pp 196 - 200.
Wright, B. Solving measurement problems with the Rasch Model. Journal of Educational Measurement, 14, pp. 9.
Zimowski, M., Muraki, E., Mislevy, R. Y Bock D. 1996. BILOG-MG Multiple-Group IRT analysis and test maintenance for binary Items. Scientific Software International. Chicago.
https://actacolombianapsicologia.ucatolica.edu.co/article/download/587/604
info:eu-repo/semantics/article
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institution UNIVERSIDAD CATÓLICA DE COLOMBIA
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country_str Colombia
collection Acta Colombiana de Psicología
title El modelo de Rasch : una alternativa para la evaluación educativa en Colombia.
spellingShingle El modelo de Rasch : una alternativa para la evaluación educativa en Colombia.
Pardo Adames, Carlos A.
Measurement
Assessment
Item reponse theory
Rasch model
Psychological testing
State exam
Test classic theory
title_short El modelo de Rasch : una alternativa para la evaluación educativa en Colombia.
title_full El modelo de Rasch : una alternativa para la evaluación educativa en Colombia.
title_fullStr El modelo de Rasch : una alternativa para la evaluación educativa en Colombia.
title_full_unstemmed El modelo de Rasch : una alternativa para la evaluación educativa en Colombia.
title_sort el modelo de rasch : una alternativa para la evaluación educativa en colombia.
title_eng El modelo de Rasch : una alternativa para la evaluación educativa en Colombia.
description This paper shows the historical development of the Psychological Testing in Colombia, the State Exam, some of the problems that this discipline has worked in this country, the main problems and weaknesses of the Test Classic Theory and the alternative answers that offers the Item Response Theory (TRI). It presents the models of the TRI, the 3-Param- eters and the Rasch, and two computer programs (BILOG-MG and WINSTEPS) that pro­cesses information based on these models. Finally, it points out the advantages of the Rasch related to its power as a mathematical model as well as its practical applicability in the educational measurement.  
author Pardo Adames, Carlos A.
author_facet Pardo Adames, Carlos A.
topicspa_str_mv Measurement
Assessment
Item reponse theory
Rasch model
Psychological testing
State exam
Test classic theory
topic Measurement
Assessment
Item reponse theory
Rasch model
Psychological testing
State exam
Test classic theory
topic_facet Measurement
Assessment
Item reponse theory
Rasch model
Psychological testing
State exam
Test classic theory
citationissue 5
publisher Universidad Católica de Colombia
ispartofjournal Acta Colombiana de Psicología
source https://actacolombianapsicologia.ucatolica.edu.co/article/view/587
language spa
format Article
rights https://creativecommons.org/licenses/by-nc-sa/4.0/
Carlos A. Pardo Adames - 2001
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
references Andersen, E. 1980. Discrete Statistical Models With Social Science Applications. North- Holland publishing company,
Amsterdam. Choppin, B. 1985. «Bruce Choppin on measurement an education». Evaluation in Education: An International Review series, 9,# l.
Embretson, S. Y Hershberger, s. 1999. The New Rules of Measurement: what every psycho- logistand educator should know. Lawrence Earlbaum Associates. New Jersey.
Fischer, G. y Molenaar, I. 1995. Rasch Models: foundations, recent developments and applications. Springer-Verlag. New York.
Haladyna, T. y Roid, G. 1983. Acomparison of two approaches to criterion referenced test construction. Journal of Educational Measurement, 20, pp. 271-282.
Hambleton, R., Cook, L. Latent trait models and their use in the analysis of educational test data. Journal of Educational Measurement, 14, pp. 75-96 1977.
Hambleton, R., Gruijter, D. 1983. Application of item response models to criterion-refer-enced test item selection. Journal of Educational Measurement, 20, pp. 355-367.
Hambleton, R. y Swaminathan, H. 1996. Item Response Theory: principies and applications. Kluwer-Nijhoff Publishing. Boston.
Holmes, S. 1982. Unidimensionality and vertical equating with the Rasch model. Journal of Educational Measurement, 19, pp. 139- 147.
Linacre, J. Y Wright, B. 2000. A User's Guide to WINSTEPS. MESA press. Chicago.
Lord, F. Y Novick, M. 1968. Statistical Theories of Mental Test Scores. Addison-Wesley.
Marco, G. Item characteristic curve Solutions to three intractable testing problems, Journal of Educational Measurement, 14, pp. 139-160.
Mehrens, W. Y Lehmann, I. 1982. Medición y Evaluación en la Educación y en la Psicología. CECSA. México.
Novick, M. Y Jackson, P. 1974. Statistical Methods for Educational and Psychological Research. McGraw Hill.
Pardo. C. 1999. Transformaciones en las Pruebas para Obtener Resultados Diferentes. Serie: Nuevo Examen de estado Cambios para el Siglo XXL ICFES. Bogotá.
Thorndike, R. 1989. Psicometría aplicada. Limusa, México.
Van Der Linden, W. 1982. Criterion-referenced measurement: its main applications, problems and fading’s. Evaluation in education, t, pp. 97-118.
Wright, B. 1992. IRTin the 1990s: Which Models Work Best?. En: Rasch Measurement Transactions. Vol. 6 N° 1 pp 196 - 200.
Wright, B. Solving measurement problems with the Rasch Model. Journal of Educational Measurement, 14, pp. 9.
Zimowski, M., Muraki, E., Mislevy, R. Y Bock D. 1996. BILOG-MG Multiple-Group IRT analysis and test maintenance for binary Items. Scientific Software International. Chicago.
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