5 papers
How Common Are Estimated Latent-Distribution Departures From Normality? Evidence From 504 Item-Response Data Sets
JoonHo Lee
Item response models usually assume a normal trait distribution, yet little is known about how often fitted distributions in real studies differ substantially from normality or whi…
How Reliable Are Psychological Measurements? The Distribution of Marginal Reliability Across 889 Item-Response Datasets
JoonHo Lee
Nearly every quantitative study in psychology reports a reliability coefficient, so the field knows a great deal about the reliability that authors choose to publish. It knows much…
Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
JoonHo Lee
Dirichlet process mixture (DPM) models are widely used for semiparametric Bayesian analysis in educational and behavioral research, yet specifying the concentration parameter remai…
Reliability-Targeted Simulation of Item Response Data: Solving the Inverse Design Problem
JoonHo Lee
Monte Carlo simulations are the primary methodology for evaluating Item Response Theory (IRT) methods, yet marginal reliability - the fundamental metric of data informativeness - i…
Valid standard errors for Bayesian quantile regression with clustered and independent data
Feng Ji, JoonHo Lee, Sophia Rabe-Hesketh
In Bayesian quantile regression, the most commonly used likelihood is the asymmetric Laplace (AL) likelihood. The reason for this choice is not that it is a plausible data-generati…