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EnglishWe focus on the analysis of the performance of university students, with reference to first year compulsory courses, with the main goal of clustering students in ability classes on the basis of their performance. The performance is measured account for two distinct elements: (i) the sets of passed and unpassed exams; (ii) the grade attained at the passed exams. We assume that data related with not passed exams are missing data and are informative about the students' ability, thus the missingness cannot be ignored in the estimation process. In the analysis, we also consider some background characteristics of the students influencing their performance, such as high school grade and type, and some characteristics of exams, such as the average evaluation related to the clarity of teacher.
An analysis of student performances through a finite mixture IRT model / Bacci Silvia, Bartolucci Francesco, Grilli Leonardo, Rampichini Carla. - ELETTRONICO. - (2015), pp. 32-32. ((Intervento presentato al convegno IES 2015 tenutosi a Bari nel 8-9 luglio 2015.
| Titolo: | An analysis of student performances through a finite mixture IRT model | |
| Autori di Ateneo: | ||
| Autori: | Bacci Silvia; Bartolucci Francesco; Grilli Leonardo; Rampichini Carla | |
| Anno di registrazione: | 2015 | |
| Titolo del libro: | Book of Abstract International Conference IES 2015 Innovation and Society Statistical Methods for services assessment | |
| Titolo del congresso: | IES 2015 | |
| Luogo del congresso: | Bari | |
| Data del congresso: | 8-9 luglio 2015 | |
| Abstract: | We focus on the analysis of the performance of university students, with reference to first year compulsory courses, with the main goal of clustering students in ability classes on the basis of their performance. The performance is measured account for two distinct elements: (i) the sets of passed and unpassed exams; (ii) the grade attained at the passed exams. We assume that data related with not passed exams are missing data and are informative about the students' ability, thus the missingness cannot be ignored in the estimation process. In the analysis, we also consider some background characteristics of the students influencing their performance, such as high school grade and type, and some characteristics of exams, such as the average evaluation related to the clarity of teacher. | |
| Handle: | http://hdl.handle.net/2158/1151272 | |
| Appare nelle tipologie: | 4a - Articolo in atti di congresso |
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