The OECD´s Programme for International Student Assessment (PISA) study: A review of its basic psychometric concepts
417-426
Data Analysis, Machine Learning and Knowledge Discovery
M. Spiliopoulou, L. Schmidt-Thieme, & R. Janning
Springer
2014
Using latent class models with random effects for investigating local dependence
407-416
Data Analysis, Machine Learning and Knowledge Discovery
M. Spiliopoulou, L. Schmidt-Thieme, & R. Janning
Springer
2014
Sensitivity analyses for the mixed coefficients multinomial logit model
389-396
Data Analysis, Machine Learning and Knowledge Discovery
M. Spiliopoulou, L. Schmidt-Thieme, & R. Janning
Springer
2014
The OECD's Programme for International Student Assessment (PISA) study: A review of its basic psychometric concepts
417–425
Data Analysis, Machine Learning and Knowledge Discovery
M. Spiliopoulou, L. Schmidt-Thieme, & R. Janning
Springer
2014
Using latent class models with random effects for investigating local dependence
407–416
Data Analysis, Machine Learning and Knowledge Discovery
M. Spiliopoulou, L. Schmidt-Thieme, & R. Janning
Springer
2014
Sensitivity analyses for the mixed coefficients multinomial logit model
389–396
Data Analysis, Machine Learning and Knowledge Discovery
M. Spiliopoulou, L. Schmidt-Thieme, & R. Janning
Springer
2014
Review of T. Raykov & G.A. Marcoulides. Introduction to Psychometric Theory
Psychometrika
2014
79
538–539