3 papers
stat.ME2026
Accounting for Measurement Bias: A New Framework for Reliable Country Ranking in Large-Scale Educational Assessments
Jing Ouyang, Yunxiao Chen, Chengcheng Li +1
International Large-scale Assessments (ILSAs), such as the Program for International Student Assessment (PISA) and the Trends in International Mathematics and Science Study (TIMSS)…
stat.CO2025
Boosting Stochastic Optimisation for High-dimensional Latent Variable Models
Motonori Oka, Yunxiao Chen, Irini Moustaki
Latent variable models are widely used in social and behavioural sciences, including education, psychology, and political science. With the increasing availability of large and com…
stat.ME2025
A Latent Variable Framework for Multiple Imputation with Non-ignorable Missingness: Analyzing Perceptions of Social Justice in Europe
Siliang Zhang, Yunxiao Chen, Jouni Kuha
This paper proposes a general multiple imputation approach for analyzing large-scale data with missing values. An imputation model is derived from a joint distribution induced by a…