Psychometric properties of the reading comprehension test ECOMPLEC.Sec

Background: ECOMPLEC.Sec is a reading comprehension test for secondary students, conceived from a multidimensional perspective in line with large-scale educational surveys such as PISA or PIRLS. The objective of this study was to validate the theoretical model of ECOMPLEC. Sec. A bifactor model that...

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Detalles Bibliográficos
Autores: Olmos Albacete, Ricardo, León Gascón, José Antonio, Martín Arnal, Lorena Alicia, Moreno Pérez, José David, Escudero, Inmaculada, Sánchez Sánchez, Fernando
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/677427
Acceso en línea:http://hdl.handle.net/10486/677427
https://dx.doi.org/10.7334/psicothema2015.92
Access Level:acceso abierto
Palabra clave:Psychometric properties
ECOMPLEC.Sec
Reading comprehension test
Bifactor model
Propiedades psicométricas
Test de comprensión lectora
Modelo bifactorial
Psicología
Descripción
Sumario:Background: ECOMPLEC.Sec is a reading comprehension test for secondary students, conceived from a multidimensional perspective in line with large-scale educational surveys such as PISA or PIRLS. The objective of this study was to validate the theoretical model of ECOMPLEC. Sec. A bifactor model that postulates the existence of a general reading comprehension factor and three specifi c factors provided a good fi t to the data. Method: 1,912 adolescents (13-18 years) participated in this study. Data analysis included construct validity via confi rmatory factor analysis, and factors were regressed onto observed covariates for the interpretation of the constructs. Reliability was calculated from a non-linear SEM in order to justify the interpretability of the observed scale and subscale scores. Results: The bifactor model exhibited a signifi cantly better fi t to the data than the second-order model. Furthermore, construct validity analysis suggests the existence of specifi c reading comprehension factors. Finally, the reliability study also supports the idea of using a total score to obtain a measure of reading comprehension. Conclusions: ECOMPLEC. Sec displays a valid parsimonious factor structure, as well as metric properties that make it a suitable tool to assess reading comprehension