ReviewQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2022
Advances in nonparametric item response theory for scale construction in quality-of-life research.
Review in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Dysphagia-Specific Instrument Based on Item Response Theory and International Classification of Functioning, Disability and Health.Dysphagia · 2025Article
- Psychometric validation of ICF Rehabilitation Set-17 through item response theory and network analysis: implications for standardized functioning assessment in Chinese inpatient rehabilitation.European journal of physical and rehabilitation medicine · 2025Article
- Article
- Portuguese Physical Literacy Assessment Questionnaire (PPLA-Q) for Adolescents: Validity and Reliability of the Psychological and Social Modules using Mokken Scale Analysis.Perceptual and motor skills · 2023Review
- Nursing Profession Self-Efficacy Scale-Version 2: A Stepwise Validation with Three Cross-Sectional Data Collections.Healthcare (Basel, Switzerland) · 2023Article
- Non-parametric measurement for patient-reported outcomes.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
Corrections and comments
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Authors and funding
2 authors.
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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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Registered trials
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