current Mixed Subjects Designs Integrating LLM responses into social, behavioral, and measurement research MCMC Based Short Form Creation A method for developing clinical use short forms using Markov Chain Monte Carlo with simulated annealing Measurement Induced Confounding Estimating causal effects with latent confounding variables Item Group Covariates Making room for theory in DIF and measurement invariance analysis with item group covariate effects CAT Item Pools A network-based approach to item pool maintenance in computer adaptive tests Process Data Understanding test-taker response styles and how they evolve over the course of an assessment software meow A unified framework for conducting simulations of computer adaptive testing (CAT) algorithms in R mixedsubjects A package for conducting social science experiments using the Mixed-Subjects Design and estimating causal effects. mixedsubjectsirt A package for conducting psychometric calibrations using the Mixed-Subjects Design. past Position Sensitive IRT Development of a mixture item response model to account for item position effects, with estimation software written in PyTorch. Item Response Warehouse The Item Response Warehouse (IRW) is a collection of open, harmonized item response datasets.
