期刊名称：Electronic Journal of Applied Statistical Analysis
电子版ISSN：2070-5948
出版年度：2012
卷号：5
期号：3
页码：393-399
DOI：10.1285/i20705948v5n3p393
语种：English
出版社：University of Salento
摘要：Characteristics of the higher educational programs (e.g. non systematic variability of course’s difficulty among and within programs and over times) make observed data (e.g. number of credits acquired) poorly informative indexes of the students’ performance. As alternative, it is proposed an extended version of Rasch model (the Three Facets Model, TFM). TFM conceptualizes student’s performance the expression of a three-component latent variable to be esteemed. In so doing, TFM is able to take into account the non-systematic sources of variation characterizing higher educatonal settings, thus avoiding limits entailed in the use of indexes based on observed data. An exemplificative longitudinal case study has been performed, aimed at detecting predictors of performance within an undergraduate program of psychology of an Italian university. Two regression models have been compared: one using a traditional index of performance based on observed data versus one using the TFM estimation.
关键词：Rasch Analysis; Three Facets Model; Higher educational performance; Performance predictors
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