ScholarGate
Asistents
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.

Atvērt MethodMindDrīzumāLietojiet, salīdziniet, saņemiet norādījumus
Rīki un resursi
Lejupielādēt slaidus
Mācieties un izpētiet
VideoDrīzumā

Lasīt pilno metodes aprakstu

Tikai dalībniekiem

Piesakieties ar bezmaksas kontu, lai lasītu šo sadaļu.

Pieteikties

Metožu karte

Saistīto metožu apkaime — atlasiet mezglu, lai izpētītu.

Avoti

  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

Kā citēt šo lapu

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

Kura metode?

Novietojiet šo metodi blakus tās tuvākajām radniecīgajām metodēm un lasiet tās līdzās — bibliotēka noliek grāmatas uz galda; izvēle ir jūsu.

Salīdzināt blakus
ScholarGateRasch Analysis of Disability Measures (Rasch Analysis of Disability and Rehabilitation Outcome Measures). Izgūts 2026-06-24 no https://scholargate.app/lv/disability-studies/rasch-analysis-disability-measures · Datu kopa: https://doi.org/10.5281/zenodo.20539026