A method for investigating the intersection of item response functions in Mokken's nonparametric IRT model
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
A method for investigating the intersection of item response functions in Mokken's nonparametric IRT model
Authors
Published Date
1992
Publisher
Type
Article
Abstract
For a set of k items having nonintersecting item
response functions (IRFs), the H coefficient
(Loevinger, 1948; Mokken, 1971) applied to a
transposed persons by items binary matrix Hт has
a non-negative value. Based on this result, a
method is proposed for using Hт to investigate
whether a set of IRFs intersect. Results from a
monte carlo study support the proposed use of Hт.
These results support the use of Hт as an extension
to Mokken’s nonparametric item response
theory approach. Index terms: double monotonicity,
Hт coefficient, intersection of item response functions,
item response theory, Mokken models, nonparametric
models.
Keywords
Description
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Sijtsma, Klaas & Meijer, Rob R. (1992). A method for investigating the intersection of item response functions in Mokken's nonparametric IRT model. Applied Psychological Measurement, 16, 149-157. doi:10.1177/014662169201600204
Other identifiers
doi:10.1177/014662169201600204
Suggested citation
Sijtsma, Klaas; Meijer, Rob R.. (1992). A method for investigating the intersection of item response functions in Mokken's nonparametric IRT model. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/115642.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.