Evidence map›Paper›PMID 37529206›Full record

ArticleFrontiers in rehabilitation sciences2023

Application of the Rasch measurement model in rehabilitation research and practice: early developments, current practice, and future challenges.

Alan Tennant, Ayse A Küçükdeveci

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Trial
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  4. Rasch Analysis and Interval-Level Scaling of the Positive and Negative Affect Schedule (PANAS) Across Cultures.International journal of psychology : Journal international de psychologie · 2026
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  5. Observational
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  10. Psychometric Evaluation of the Patient-Experienced Continuity of Care Questionnaire (PECQ) Using Rasch Model.Health expectations : an international journal of public participation in health care and health policy · 2026
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  11. Article
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  15. SCaRES - scoliosis caregiver response and emotional scale: a Rasch-validated questionnaire to measure the psychological impact of children's scoliosis on their parents.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
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  16. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alan TennantLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom.
Ayse A KüçükdeveciDepartment of Physical Medicine and Rehabilitation, Faculty of Medicine, Ankara University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of the Rasch measurement model in rehabilitation is now well established. Both its dichotomous and polytomous forms provide for transforming ordinal scales into interval-level measures, consistent with the requirements of fundamental measurement. The growth of applying the model in rehabilitation spans 30 years, during which both the protocol has steadily developed and several software packages have emerged that provide for analysis, together with the "R" language that has an increasing set of codes for applying the model. This article reviews that development and highlights current practice requirements, including those for providing the relevant information for the methods, and what is expected of the analysis. In addition, this provides a worked example and looks at the remaining issues and current developments of its application.

Indexed as

guidancehistoryRaschrehabilitationstroke

Identifiers

PMID37529206
PMCPMC10387545

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.