Hemker, B.T.

Sijtsma, K.

van der Ark, L.A.

English

Tilburg University Repository

    Tilburg UniversityHierarchically Related Nonparametric IRT Models, and Practical Data Analysis Methodsvan der Ark, L.A.; Hemker, B.T.; Sijtsma, K.Published in:Latent Variable and Latent Structure ModelingPublication date:2002Link to publication in Tilburg University Research PortalCitation for published version (APA):van der Ark, L. A., Hemker, B. T., & Sijtsma, K. (2002). Hierarchically Related Nonparametric IRT Models, andPractical Data Analysis Methods. In G. Marcoulides, & I. Moustaki (Eds.), Latent Variable and Latent StructureModeling (pp. 41-62). Lawrence Erlbaum.General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright ownersand it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.            • Users may download and print one copy of any publication from the public portal for the purpose of private study or research.            • You may not further distribute the material or use it for any profit-making activity or commercial gain            • You may freely distribute the URL identifying the publication in the public portalTake down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediatelyand investigate your claim.Download date: 12. Nov. 2023

Hierarchically Related Nonparametric IRT Models, and Practical Data Analysis Methods

    Tilburg UniversityHierarchically Related Nonparametric IRT Models, and Practical Data Analysis Methodsvan der Ark, L.A.; Hemker, B.T.; Sijtsma, K.Published in:Latent Variable and Latent Structure ModelingPublication date:2002Link to publication in Tilburg University Research PortalCitation for published version (APA):van der Ark, L. A., Hemker, B. T., & Sijtsma, K. (2002). Hierarchically Related Nonparametric IRT Models, andPractical Data Analysis Methods. In G. Marcoulides, & I. Moustaki (Eds.), Latent Variable and Latent StructureModeling (pp. 41-62). Lawrence Erlbaum.General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright ownersand it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.            • Users may download and print one copy of any publication from the public portal for the purpose of private study or research.            • You may not further distribute the material or use it for any profit-making activity or commercial gain            • You may freely distribute the URL identifying the publication in the public portalTake down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediatelyand investigate your claim.Download date: 13. Jan. 2022

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Hierarchically Related Nonparametric IRT Models, and Practical Data Analysis Methods

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