Descriptor
| Item Response Theory | 2 |
| Monte Carlo Methods | 2 |
| Simulation | 2 |
| Bayesian Statistics | 1 |
| Markov Processes | 1 |
| Models | 1 |
| Nonparametric Statistics | 1 |
| Scores | 1 |
Source
| Psychometrika | 1 |
Author
| Meijer, Rob R. | 2 |
| Glas, Cees A. W. | 1 |
| Sijtsma, Klaas | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedSijtsma, Klaas; Meijer, Rob R. – Psychometrika, 2001
Studied the use of the person response function (PRF) for identifying nonfitting item score patterns. Proposed a person-fit method reformulated in a nonparametric item response theory (IRT) context. Conducted a simulation study to compare the use of the PRF with a person-fit statistic, resulting in the conclusion that the PRF can be used as a…
Descriptors: Item Response Theory, Monte Carlo Methods, Nonparametric Statistics, Scores
Download full textGlas, Cees A. W.; Meijer, Rob R. – 2001
A Bayesian approach to the evaluation of person fit in item response theory (IRT) models is presented. In a posterior predictive check, the observed value on a discrepancy variable is positioned in its posterior distribution. In a Bayesian framework, a Markov Chain Monte Carlo procedure can be used to generate samples of the posterior distribution…
Descriptors: Bayesian Statistics, Item Response Theory, Markov Processes, Models
