Analysing SET over time using multilevel multidimensional explanatory IRT models

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Abstract

This contribution makes an attempt to analyze students' ratings of university teaching on a broad prospective, trying to adjust the final assessmentfrom a wide range of factors which jointly may influence the process under evaluation: academic year peculiarities, course characteristics, students' characteristics and item dimensionality. From a methodological point of view, by setting complexItem Response models as special case of Generalized Linear or Mixed Models alarge flexibility is introduced in the specification of ad hoc modelling approaches for the analysis of students' ratings.
Lingua originaleEnglish
Numero di pagine5
Stato di pubblicazionePublished - 2013

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title = "Analysing SET over time using multilevel multidimensional explanatory IRT models",
abstract = "This contribution makes an attempt to analyze students' ratings of university teaching on a broad prospective, trying to adjust the final assessmentfrom a wide range of factors which jointly may influence the process under evaluation: academic year peculiarities, course characteristics, students' characteristics and item dimensionality. From a methodological point of view, by setting complexItem Response models as special case of Generalized Linear or Mixed Models alarge flexibility is introduced in the specification of ad hoc modelling approaches for the analysis of students' ratings.",
author = "Vincenza Capursi",
year = "2013",
language = "English",

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AU - Capursi, Vincenza

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N2 - This contribution makes an attempt to analyze students' ratings of university teaching on a broad prospective, trying to adjust the final assessmentfrom a wide range of factors which jointly may influence the process under evaluation: academic year peculiarities, course characteristics, students' characteristics and item dimensionality. From a methodological point of view, by setting complexItem Response models as special case of Generalized Linear or Mixed Models alarge flexibility is introduced in the specification of ad hoc modelling approaches for the analysis of students' ratings.

AB - This contribution makes an attempt to analyze students' ratings of university teaching on a broad prospective, trying to adjust the final assessmentfrom a wide range of factors which jointly may influence the process under evaluation: academic year peculiarities, course characteristics, students' characteristics and item dimensionality. From a methodological point of view, by setting complexItem Response models as special case of Generalized Linear or Mixed Models alarge flexibility is introduced in the specification of ad hoc modelling approaches for the analysis of students' ratings.

UR - http://hdl.handle.net/10447/82546

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