Abstract

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.

Autore Pugliese

• Salvatore Sergio , Mossi Piergiorgio , Venuleo Claudia

Tutti gli autori

• Mossi P. , Venuleo C. , Tundo P. , Salvatore S.

Titolo volume/Rivista

ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS

Anno di pubblicazione

2012

ISSN

2070-5948

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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