Thirty Years of Nonparametric Item Response Theory
- 1 September 2001
- journal article
- Published by SAGE Publications in Applied Psychological Measurement
- Vol. 25 (3) , 295-299
- https://doi.org/10.1177/01466210122032091
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.Keywords
This publication has 31 references indexed in Scilit:
- Nonparametric Item Response Theory in Action: An Overview of the Special IssueApplied Psychological Measurement, 2001
- Nonparametric Item Response Function Estimation for Assessing Parametric Model FitApplied Psychological Measurement, 2001
- Conditional Covariance-Based Representation of Multidimensional Test StructureApplied Psychological Measurement, 2001
- Nonparametric Regression and the Parametric Bootstrap for Local Dependence AssessmentApplied Psychological Measurement, 2001
- On the Interplay Between Nonparametric and Parametric IRT, with Some Thoughts About the FuturePublished by Springer Nature ,2001
- Stochastic Ordering Using the Latent Trait and the Sum Score in Polytomous IRT ModelsPsychometrika, 1997
- A Multidimensional Item Response Model: Constrained Latent Class Analysis Using the Gibbs Sampler and Posterior Predictive ChecksPsychometrika, 1997
- Polytomous IRT Models and Monotone Likelihood Ratio of the Total ScorePsychometrika, 1996
- Testing the Rasch ModelPublished by Springer Nature ,1995
- Investigating Mokken scalability of dichotomous items by means of ordinal latent class analysisBritish Journal of Mathematical and Statistical Psychology, 1991