ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2014
Is Rasch model analysis applicable in small sample size pilot studies for assessing item characteristics? An example using PROMIS pain behavior item bank data.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
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69 citing papers in PubMed, 183 citations in OpenAlex.
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- Rasch analysis of the mobile version of the eHealth literacy scale for cardiovascular disease patients.Scientific reports · 2025Article
- Translation, cross-cultural adaptation, and validation of the Norwegian version of the Keratoconus Outcomes Research Questionnaire.Journal of patient-reported outcomes · 2025Article
- Parsimonious item response theory modeling with the cauchit link: Revisiting the rationale of the four-parameter logistic model.Behavior research methods · 2025Article
- Measuring a family sense of coherence: a rasch-based study extending dyadic data analyses.BMC palliative care · 2025Article
- Psychometric evaluation of the Positivum beliefs and perceptions scales to inform occupational rehabilitation following injury.PloS one · 2025Article
- Protocol for the development and validation of a clinical measurement tool for fear of disease progression and recurrence in cardiac patients.Chronic diseases and translational medicine · 2024Article
- Developing an Instrument to Measure Public Health Nurses' Competence Related to Breastfeeding Beyond 12 Months.Journal of human lactation : official journal of International Lactation Consultant Association · 2024Article
- Parsimonious item response theory modeling with the negative log-log link: The role of inflection point shift.Behavior research methods · 2024Article
- Cross-cultural adaptation and validation of the caregiver self-efficacy in contributing to patient self-care scale in China.BMC public health · 2024Article
9 more citing papers are in PubMed but not listed here.
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6 authors at 2 institutions in 1 country.
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Abstract
purposeLarge samples are generally considered necessary for Rasch model to obtain robust item parameter estimates. Recently, small sample Rasch analysis was suggested as preliminary assessment of items' psychometric properties. This study is to evaluate the Rasch analysis results using small sample sizes.
methodsTen PROMIS pain behavior items were used. Random samples of 30, 50, 100, and 250, and a targeted sample of 30 were drawn 10 times each from a total of 800 subjects. Rasch analysis was conducted for each of these samples and the full sample.
resultsIn the full sample, there were 104 cases of extreme scores, no null categories, two incorrectly ordered items, and four misfit items. For samples of 250, 100, 50, 30, and targeted 30, the average numbers of extreme scores were 42.2, 17.1, 9.6, 6.1, and 1.2; the average numbers of null categories were 1.0, 3.2, 8.7, 13.4, and 8.3; the average numbers of items with incorrectly ordered item parameters were 0.1, 0.8, 2.9, 4.7, and 3.7; and the average numbers of items with fit residuals exceeding ± 2.5 were 0.8, 0.3, 0.1, 0.2, and 0.3, respectively.
conclusionsRasch analysis based on small samples (≤ 50) identified a greater number of items with incorrectly ordered parameters than larger samples (≥ 100). However, fewer items were identified as misfitting. Results from small samples led to opposite conclusions from those based on larger samples. Rasch analysis based on small samples should be used for exploratory purposes with extreme caution.
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