scholarly journals Development and Refinement of Patient-Reported Outcome Measures for Hearing: A Brief Introduction to Nonparametric Item Response Theory

2019 ◽  
Vol 28 (3S) ◽  
pp. 806-809 ◽  
Author(s):  
Christy Cassarly ◽  
Lois J. Matthews ◽  
Annie N. Simpson ◽  
Judy R. Dubno
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Outcome Measures ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Response Theory ◽  
Nonparametric Item Response Theory ◽  
Patient Reported ◽  
Ordered Categorical ◽  
Nonparametric Item Response

Purpose The purpose of this report was to demonstrate the value of incorporating nonparametric item response theory in the development and refinement of patient- reported outcome measures for hearing. Conclusions Nonparametric item response theory can be useful in the development and refinement of patient-reported outcome measures for hearing. These methods are particularly useful as an alternative to exploratory factor analysis to determine the number of underlying abilities or traits represented by a scale when the items have ordered-categorical responses.

Item Relational Structure Theory Based on Liu’s Improved Nonparametric IRT Theory

2013 ◽  
Vol 479-480 ◽  
pp. 1193-1196
Author(s):  
Hsiang Chuan Liu ◽  
Yen Kuei Yu ◽  
Hsien Chang Tsai
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Joint Probability ◽  
Relational Structure ◽  
Structure Theory ◽  
Response Theory ◽  
Nonparametric Item Response Theory ◽  
Relational Structures ◽  
Relational Structure Theory ◽  
Nonparametric Item Response

In this paper, an extensional item relational structure theory based on the improved nonparametric item response theory is proposed. Item relational structure theory (Takeya, 1991) was developed to detect item relational structures of a group of subjects. The differences of these structures and experts knowledge structures can provide more information for planning remedial instruction, developing instruction materials, or educational researches. In this study, Lius improved nonparametric item response theory ( Liu, 2000, 2013) without the local independence assumption is used to estimate the joint probability of two items, and construct personal item relational structures. A Mathematics example is also provided in this paper to illustrate the advantages of the proposed method

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