Thirty Years of Nonparametric Item Response Theory

Abstract

Relationships between a mathematical measurement model and its real-world applications are discussed. A distinction is made between large data matrices commonly found in educational measurement and smaller matrices found in attitude and personality measurement. Nonparametric methods are evaluated for estimating item response functions and (unconditional and conditional) inter-item covariances.