Building up adjusted indicators of students’ evaluation of university courses using generalized item response models
From MaRDI portal
Publication:5128892
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
mixed-effects modelsadjusted indicatorsevaluation of university coursesexplanatory item response modelsmultidimensional latent traits
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
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- 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
This page was built for publication: Building up adjusted indicators of students’ evaluation of university courses using generalized item response models