ScholarGate
Assistent
Latent structurePsychometrics / outcome-measure validation

Rasch Analysis of Disability Measures

Rasch analysis is a psychometric method, based on Georg Rasch's probabilistic measurement model, used to test and refine the disability, function, and participation scales that pervade disability and rehabilitation research. As set out for clinicians by Alan Tennant and Philip Conaghan in 2007, fitting the Rasch model checks whether a scale's items genuinely measure a single underlying trait at interval level, so that summing item scores into a total is justified. Because so many disability outcome measures simply add ordinal item ratings — assuming items are equally difficult and that ordinal categories behave like interval data — Rasch analysis provides the rigorous test of whether that common practice is actually valid.

Ava rakenduses MethodMindPeagiRakenda, võrdle, saa juhiseid
Tööriistad ja ressursid
Laadi slaidid alla
Õpi ja avasta
VideoPeagi

Loe meetodi täielikku kirjeldust

Ainult liikmetele

Selle osa lugemiseks logi sisse tasuta kontoga.

Logi sisse

Meetodikaart

Seotud meetodite ümbruskond — vali sõlm, et seda uurida.

Allikad

  1. Tennant, A., & Conaghan, P. G. (2007). The Rasch measurement model in rheumatology: What is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis Care & Research, 57(8), 1358-1362. DOI: 10.1002/art.23108

Kuidas sellele lehele viidata

ScholarGate. (2026, June 23). Rasch Analysis of Disability and Rehabilitation Outcome Measures. ScholarGate. https://scholargate.app/et/disability-studies/rasch-analysis-disability-measures

Milline meetod?

Aseta see meetod oma lähimate sugulaste kõrvale ja loe neid kõrvuti — raamatukogu laob raamatud lauale; valik on sinu.

Võrdle kõrvuti
ScholarGateRasch Analysis of Disability Measures (Rasch Analysis of Disability and Rehabilitation Outcome Measures). Loetud 2026-06-24 aadressilt https://scholargate.app/et/disability-studies/rasch-analysis-disability-measures · Andmestik: https://doi.org/10.5281/zenodo.20539026