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An application of the Linear Logistic Test Model for the construction of a Fluid Intelligence Test

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dc.creator Thomas Castelain
dc.creator Maria Paula Villarreal Galera
dc.creator Mauricio Molina Delgado
dc.creator Odir Antonio Rodriguez-Villagra
dc.date 2019
dc.date.accessioned 2022-03-29T14:21:13Z
dc.date.available 2022-03-29T14:21:13Z
dc.identifier http://www.redalyc.org/articulo.oa?id=44759854004
dc.identifier.uri http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/145367
dc.description The present article, of quantitative cut, aims at testing -via linear logistic test model (LLTM)- a set of cognitive operations (i.e., rules) influencing the item difficulty of a fluid intelligence test on different samples of students. In Study 1, high school students (n = 1751) were randomly assigned to study and validation samples. The former sample served to test a proposed set of rules as variables affecting item difficulty and the latter aided to bring evidences of validity of these rules. In Study 2, university students (n = 162) were recruited to determine whether the influence of these rules on the level of difficulty of the items could be generalized to this new group. Study 1 brings evidence of the viability of a set of cognitive operations underlying the process of solving the items while Study 2 suggests individual differences in respondents solution strategies. The same strategy of analysis could be applied to the construction of other tests and may help educators, researchers and decision-makers to improve their pursue of relying on the most refined instruments.
dc.format application/pdf
dc.language en
dc.publisher Universidad de Costa Rica
dc.relation http://www.redalyc.org/revista.oa?id=447
dc.rights Revista Electrónica "Actualidades Investigativas en Educación"
dc.source Revista Electrónica "Actualidades Investigativas en Educación" (Costa Rica) Num.1 Vol.19
dc.subject Educación
dc.subject Fluid intelligence
dc.subject Rasch model
dc.subject linear logistic test model
dc.subject items difficulty
dc.title An application of the Linear Logistic Test Model for the construction of a Fluid Intelligence Test
dc.type artículo científico


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