Degree course change and student performance: a mixed-effect model approach

DOI10.1080/02664763.2015.1018673OpenAlexW1995222278MaRDI QIDQ5137963

Giada Adelfio, Giovanni Boscaino

Publication date: 3 December 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2015.1018673

zbMATH Keywords

longitudinal dataoverdispersionZIP modelexpected years to the graduationmotion chartuniversity credits

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Migration and students' performance: detecting geographical differences following a curves clustering approach ⋮ Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance ⋮ Time varying mixed effects model with fused lasso regularization

Uses Software

• R
• MCMCglmm
• BayesDA

Cites Work

• Unnamed Item
• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications
• Random effect models for repeated measures of zero-inflated count data

This page was built for publication: Degree course change and student performance: a mixed-effect model approach