L.A. van der Ark
- Goodness-of-fit methods for nonparametric IRT models
- Springer Proceedings in Mathematics & Statistics
- Pages (from-to)
- Document type
- Faculty of Social and Behavioural Sciences (FMG)
- Research Institute of Child Development and Education (RICDE)
This chapter has three sections. The first section introduces the unidimensionalmonotone latent variable model for data collected by means of a test or a questionnaire. The second section discusses the use of goodness-of-fit methods for statistical models, in particular, item response models such as theunidimensional monotone latent variable model. The third section discusses the use of the conditional association property for testing the goodness-of-fit of the unidimensional monotone latent variable model. It is established that conditional association is well suited for assessing the local independence assumption and a procedure is proposed for identifying locally independent sets of items. The procedure is used in a real-data analysis.
- go to publisher's site
- Proceedings title: Quantitative psychology research: the 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin,
Place of publication: Cham
Editors: L.A. van der Ark, D.M. Bolt, W.-C. Wang, J.A. Douglas, S.-M. Chow
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.