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Advances in nonparametric item response theory for scale construction in quality-of-life research

Sijtsma,Klaas
; 
Van Der Ark,L. Andries
Abstract
We introduce the special section on nonparametric item response theory (IRT) in Quality of Life Research. Starting from the well-known Rasch model, we provide a brief overview of nonparametric IRT models and discuss the assumptions, the properties, and the investigation of goodness of fit. We provide references to more detailed texts to help readers getting acquainted with nonparametric IRT models. In addition, we show how the rather diverse papers in the special section fit into the nonparametric IRT framework. Finally, we illustrate the application of nonparametric IRT models using data from a questionnaire measuring activity limitations in walking. The real-data example shows the quality of the scale and its constituent items with respect to dimensionality, local independence, monotonicity, and invariant item ordering.
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The authors did not receive funding for this article.
Date
2022
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Tilburg University Research Output Collection
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Keywords
CONDITIONAL ASSOCIATION, DIMENSIONALITY, Goodness of fit, MEASURING ACTIVITY LIMITATIONS, MODEL, Measurement of health-related attributes, Nonparametric item response theory, Rasch model
Citation
Sijtsma, K & Van Der Ark, L A 2022, 'Advances in nonparametric item response theory for scale construction in quality-of-life research', Quality of Life Research, vol. 31, pp. 1-9. https://doi.org/10.1007/s11136-021-03022-w
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https://hdl.handle.net/20.500.14602/77954
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