On generating plausible values for multilevel modelling with large‐scale‐assessment data

DOI10.1111/bmsp.12326OpenAlexW4388633163MaRDI QIDQ6127081

Unnamed Author

Publication date: 10 April 2024

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/bmsp.12326

zbMATH Keywords

latent regressionmultilevel modellinglarge-scale assessmentplausible value

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Cites Work

• Unnamed Item
• What can we learn from plausible values?
• Bayesian statistics then and now
• High-dimensional exploratory item factor analysis by a Metropolis-Hastings Robbins-Monro algorithm
• Regression among factor scores
• The Role of Sampling Weights When Modeling Survey Data
• On the Variances of Asymptotically Normal Estimators from Complex Surveys
• General Multi-Level Modeling with Sampling Weights

This page was built for publication: On generating plausible values for multilevel modelling with large‐scale‐assessment data