6533b871fe1ef96bd12d0b31

RESEARCH PRODUCT

Analysing SET over time using multilevel multidimensional explanatory IRT models

I SulisVincenza Capursi

subject

multilevellongitudinalIRTmultidimensionalMokken Scale AnalysisSettore SECS-S/05 - Statistica SocialeSettore SECS-S/01 - Statistica

description

This contribution makes an attempt to analyze students' ratings of university teaching on a broad prospective, trying to adjust the final assessment from 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 complex Item Response models as special case of Generalized Linear or Mixed Models a large flexibility is introduced in the specification of ad hoc modelling approaches for the analysis of students' ratings.

yearjournalcountryeditionlanguage
2013-01-01
http://hdl.handle.net/10447/82546