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Nonparametric Item Response Theory Axioms and Properties Under Nonlinearity and Their Exemplification With Knowledge Space Theory [PDF]

Journal of Mathematical Psychology, 2007
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Ali Ünlü
exaly   +3 more sources

Comparison of Polytomous Parametric and Nonparametric Item Response Theory Models

Journal of Measurement and Evaluation in Education and Psychology, 2017
This research aimed to identify the effects of independent variables as sample size, sample distribution, the number of items in the test, and the number of response categories of items in the test on the estimations of Graded Response Model (GRM) under Parametric Item Response Theory (PIRT) and by Monotone Homogeneity Model (MHM) under Non-Parametric ...
Nuri Dogan, Özge Bıkmaz Bilgen
exaly   +2 more sources

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Groups of Persons and Groups of Items in Nonparametric Item Response Theory

2003
In standard applications of Item Response Theory (IRT), n exchangeable persons have responded to k exchangeable items. Among neither persons nor items subgroups are distinguished This paper reviews methods and results for situations where it is meaningful to consider subgroups (of persons, of items, or both).
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22 Nonparametric Item Response Theory and Special Topics

2006
This chapter discusses the ideas and assumptions of nonparametric IRT and its merits and drawbacks in analyzing real test and questionnaire data. The place of nonparametric IRT in IRT in general is reviewed and nonparametric IRT is compared to parametric IRT.
Klaas Sijtsma, Rob R. Meijer
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Digital ITEMS Module 03: Nonparametric Item Response Theory

Educational Measurement: Issues and Practice, 2018
AbstractIn this digital ITEMS module, we introduce the framework of nonparametric item response theory (IRT), in particular Mokken scaling, which can be used to evaluate fundamental measurement properties with less strict assumptions than parametric IRT models.
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Item-Explanatory Mokken Scale Analysis: Using Nonparametric Item Response Theory to Explore Item Attributes

Journal of Experimental Education
Stefanie A Wind
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Investigation of a Nonparametric Procedure for Assessing Goodness-of-Fit in Item Response Theory

Applied Measurement in Education, 2008
Tests of model misfit are often performed to validate the use of a particular model in item response theory. Douglas and Cohen (2001) introduced a general nonparametric approach for detecting misfit under the two-parameter logistic model. However, the statistical properties of their approach, and empirical comparisons to other methods, have not been ...
Wells, CS, Bolt, DM
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Nonparametric Item Response Theory: A Maturing and Applicable Measurement Modeling Approach

Applied Psychological Measurement, 2001
The papers in this Special Issue are briefly discussed. The practical applicability of nonparametric item response theory (NIRT), NIRT's capacity to address fundamental modeling issues and to function effectively with smaller sample sizes than parametric item response theory (PIRT), along with how NIRT addresses lack-of-fit issues, are emphasized. NIRT
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A Nonparametric Item Response Theory

SSRN Electronic Journal, 2011
Shlomo Yitzhaki, Rinat Itzhaki, Taina Pudalov   +2 more
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Introduction to Nonparametric Item Response Theory

Journal of the American Statistical Association, 2003
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