A Bayesian longitudinal model for quantifying students' preferences regarding teaching quality indicators

DOI10.1007/s40300-020-00175-5zbMath1452.62974OpenAlexW3036926109MaRDI QIDQ2209775

Dimitris Fouskakis, I. Rotous, George Petrakos

Publication date: 4 November 2020

Published in: Metron (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40300-020-00175-5

zbMATH Keywords

longitudinal dataDirichlet priorlatent variablesBayesian beta regressionHamiltonian MCMCteaching quality indicators

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to social sciences (62P25) General nonlinear regression (62J02) Monte Carlo methods (65C05)

Uses Software

• WinBUGS
• Stan

Cites Work

• Beta Regression for Modelling Rates and Proportions
• A Dirichlet random coefficient regression model for quality indicators
• Bayesian Modeling Using WinBUGS
• A Bayesian hierarchical model for comparative evaluation of teaching quality indicators in higher education

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