We hope that this Spring Quarter is progressing well for everyone. The next Workshop on Quantitative Methods in Education, Health, and the Social Sciences (QMeHSS) will take place on Friday, May 13th, from 11:00am - 12:30pm in NORC Conference room 344. Dr. Li Cai from UCLA will be joining us to lead our Friday workshop. NORC is located at 1155 E. 60th Street
In addition to the QMeHSS workshop, Dr. Cai will be participating in a fire-side chat on IRT in Robert Gibbons Statistical Applications Class on Thursday, May 12th from 1:30pm – 2:50pm in BSLC room 313. All are invited to attend both opportunities for stimulating discussion on IRT. BSLC is located at 924 E 57th Street. We look forward to seeing you there.
Item Response Theory
Professor in Advanced Quantitative Methodology, UCLA
This review introduces classical item response theory models as well as more contemporary extensions to the case of multilevel, multidimensional, and mixtures of discrete and continuous latent variables through the lens of discrete multivariate analysis. A general modeling framework is discussed, and the applications of this framework in diverse contexts are presented, including large-scale educational surveys, randomized efficacy studies, and diagnostic measurement. Other topics covered include parameter estimation and model fit evaluation. Both classical (numerical integration based) and more modern (stochastic) parameter estimation approaches are discussed. Similarly, limited information goodness-of-fit testing and posterior predictive model checking are reviewed and contrasted. The review concludes with a discussion of some emerging strands in IRT research such as response time modeling, crossed random effects models, and non-standard models for response processes.