ArticlePloS one2018
Method of successive dichotomizations: An improved method for estimating measures of latent variables from rating scale data.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Rasch analysis of the new general self efficacy scale: an evaluation of its psychometric properties in older adults with low vision.Health and quality of life outcomes · 2024Trial
- Outcomes of Telerehabilitation Versus In-Office Training With Magnification Devices for Low Vision: A Randomized Controlled Trial.Translational vision science & technology · 2024Trial
- A Within-Population Comparison of the Psychometric Properties and Clinical Feasibility of Visual Function Questionnaires in Low Vision.Translational vision science & technology · 2026Article
- Visual functioning and geographic atrophy imaging characteristics in age-related macular degeneration.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- Development and Validation of the Assessment of Low Luminance Vision-Related Activities.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026Observational
- Translation and Validation of the Low Luminance Questionnaire in the Chinese Population.Translational vision science & technology · 2026Article
- VFQ-25 With and Without Rasch Scoring Assessed Using Simulated Data in Trials Comparing Laser With Anti-VEGF for Diabetic Retinopathy.Translational vision science & technology · 2026Article
- Perceived sound localization abilities in blind individuals.PloS one · 2026Article
- Low Vision Assessment in Virtual Reality (LVAVR): Spatial Computing in Virtual Reality and Real-World.2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops · 2026Article
- Validation of the ecological momentary well-being instrument (EMOWI) in Canadian adolescents.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Differential Impact of Central and Global Visual Field Progression on Quality of Life in Glaucoma.American journal of ophthalmology · 2025Article
- Functional Vision Assessment Over 4 Years in USH2A Using the Veteran Affairs Low-Vision Visual Functioning Questionnaire.Investigative ophthalmology & visual science · 2025Article
- Patient-Reported Outcomes in RLBP1 Retinal Dystrophy: Longitudinal Assessment in a Prospective Natural History Study.Translational vision science & technology · 2024Article
- Assessing Visual Crowding in Participants With Preperimetric Glaucoma Using Eye Movement and Manual Response Paradigms.Translational vision science & technology · 2024Article
- Development of a PROMIS multidimensional cancer-related fatigue (mCRF) form using modern psychometric techniques.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Rasch validation of the short form (8 item) PC-QoL questionnaire and applicability of use as a health state classification system for a new preference-based measure.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Development and Validation of Performance-Based Assessment of Daily Living Tasks in Age-Related Macular Degeneration.Translational vision science & technology · 2024Article
- Development and validation of a questionnaire for assessing visual and auditory spatial localization abilities in dual sensory impairment.Scientific reports · 2024Article
- Functional Vision in Patients With Biallelic USH2A Variants.American journal of ophthalmology · 2024Article
- Efficiency, Precision, Validity, and Reliability of GlauCAT-Asian Computerized Adaptive Tests in Measuring Glaucoma-Related Quality of Life.Translational vision science & technology · 2024Article
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2 authors.
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Abstract
The most commonly used models for estimating measures of latent variables from polytomous rating scale data are the Andrich rating scale model and the Samejima graded response model. The Andrich model has the undesirable property of estimating disordered rating category thresholds, and users of the model are advised to manipulate data to force thresholds to come out ordered. The Samejima model estimates ordered thresholds, but has the undesirable property of estimating person measures on a non-invariant scale-the scale depends on which items a person rates and makes comparisons across people difficult. We derive the rating scale model logically implied by the generally agreed upon definition of rating scale-a real line partitioned by ordered thresholds into ordered intervals called rating categories-and show that it estimates ordered thresholds as well as person and item measures on an invariant scale. The derived model turns out to be a special case of the Samejima model, but with no item discrimination parameter and with common thresholds across items. All parameters in our model are estimated using a fast and efficient method called the Method of Successive Dichotomizations, which applies the dichotomous Rasch model as many times as there are thresholds and demonstrates that the derived model is a polytomous Rasch model that estimates ordered thresholds. We tested both the Method of Successive Dichotomizations and the Andrich model against simulated rating scale data and found that the estimated parameters of our model were nearly perfectly correlated with the true values, while estimated thresholds of the Andrich model became negatively correlated with the true values as the number of rating categories increased. Our method also estimates parameters on a scale that remains invariant to the number of rating categories, in contrast to the Andrich model.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.