Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements

DOI10.1080/02664763.2016.1201799OpenAlexW2472405232WikidataQ61915940 ScholiaQ61915940MaRDI QIDQ5138620

Tommaso Agasisti, Chiara Masci, Francesca Ieva, Anna Maria Paganoni

Publication date: 4 December 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2016.1201799

zbMATH Keywords

multilevel modelsvalue-addedbivariate modelsschool and class effectspupils' achievement

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Studying the relationship between anxiety and school achievement: evidence from PISA data ⋮ Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients ⋮ Student and school performance across countries: a machine learning approach ⋮ Performance assessment of upper secondary schools in Italian regions using a circular pseudo-Malmquist index

Uses Software

• R
• S-PLUS
• car
• nlme
• vegan
• MEMSS
• ASReml
• carData

Cites Work

• Unnamed Item
• Mixed-Effects Models in S and S-PLUS
• Distance‐Based Tests for Homogeneity of Multivariate Dispersions

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