Evaluation of computerized tests applying the classical theory of the tests and the theory of response to the item

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The objective of this study was to evaluate the reliability and validity of computerized tests via the web through the measurement of their psychometric and statistical properties by applying the Classical Test Theory (TCT) and the Item Response Theory (TRI). The TCT methodology was applied to asses...

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Detalles Bibliográficos
Autores: Menacho Chiok, César Higinio, Alva Trinidad, Jesús María Cano
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Nacional Agraria La Molina
Repositorio:Revistas - Universidad Nacional Agraria La Molina
Lenguaje:español
OAI Identifier:oai:revistas.lamolina.edu.pe:article/1638
Enlace del recurso:https://revistas.lamolina.edu.pe/index.php/acu/article/view/1638
Nivel de acceso:acceso abierto
Materia:Pruebas informatizadas
teoría clásica de los test
teoría de respuesta al ítem
modelos logísticos binarios
calibración de la prueba.
Computerized tests
classic test theory
item response theory
binary logistic models
test calibration.
Descripción
Sumario:The objective of this study was to evaluate the reliability and validity of computerized tests via the web through the measurement of their psychometric and statistical properties by applying the Classical Test Theory (TCT) and the Item Response Theory (TRI). The TCT methodology was applied to assess the difficulty and discrimination of the test and the items. The data was adjusted to the TRI binary logistic models of one, two and three parameters. A computerized test of 30 questions was applied to 775 students enrolled in the Basic Statistics course in the 2016 II semester. The results indicated a good reliability of the test with a Cronbach’s alpha of 0,833 and was corroborated with a correlation of 0,815. For the TCT the difficulty index identified three very easy questions (V7, V8 and V12) and the discrimination index did not find any questions to withdraw it. The assumption of unidimensionality with factor analysis was tested with an explained variance of the first factor of 24,7%. The binary logistic model of the three parameter TRI (3PL) was better adjusted to the data. For the calibration process with the 3PL model, questions V28 (discrimination index greater 0,65) were withdrawn; V8, V12, V16 and V18 (chance index greater than 0.4) and none with the difficulty index.
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