Building up adjusted indicators of students’ evaluation of university courses using generalized item response models

DOI10.1080/02664763.2012.734796OpenAlexW2018631683MaRDI QIDQ5128892

Isabella Sulis, Vincenza Capursi

Publication date: 26 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.734796

zbMATH Keywords

mixed-effects modelsadjusted indicatorsevaluation of university coursesexplanatory item response modelsmultidimensional latent traits

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Does education protect families' well-being in times of crisis? Measurement issues and empirical findings from IT-SILC data ⋮ Statistics in Education ⋮ An association model for bivariate data with application to the analysis of university students' success

Uses Software

• GLLAMM
• mlirt

Cites Work

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• Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects
• Statistical methods for the evaluation of university systems
• Finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research
• A multidimensional latent trait model for measuring learning and change
• Analysis of university course evaluations: from descriptive measures to multilevel models
• Generalized multilevel structural equation modeling
• Random Effects Probit and Logistic Regression Models for Three-Level Data
• Item Response Theory
• A Random-Effects Ordinal Regression Model for Multilevel Analysis
• Multilevel IRT models for the university teaching evaluation

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