A comparison of the polytomous Rasch analysis output of RUMM2030 and R (ltm/eRm/TAM/lordif)

BMC Medical Research Methodology
Michael RobinsonJoy C MacDermid

Abstract

Patient-reported outcome measures developed using Classical Test Theory are commonly comprised of ordinal level items on a Likert response scale are problematic as they do not permit the results to be compared between patients. Rasch analysis provides a solution to overcome this by evaluating the measurement characteristics of the rating scales using probability estimates. This is typically achieved using commercial software dedicated to Rasch analysis however, it is possible to conduct this analysis using non-specific open source software such a R. Rasch analysis was conducted using the most commonly used commercial software package, RUMM 2030, and R, using four open-source packages, with a common data set (6-month post-injury PRWE Questionnaire responses) to evaluate the statistical results for consistency. The analysis plan followed recommendations used in a similar study supported by the software package's instructions in order to obtain category thresholds, item and person fit statistics, measures of reliability and evaluate the data for construct validity, differential item functioning, local dependency and unidimensionality of the items. There was substantial agreement between RUMM2030 and R with regards for most of the ...Continue Reading

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Citations

Aug 29, 2020·The British Journal of Mathematical and Statistical Psychology·Feri WijayantoTom Heskes
Aug 3, 2021·Frontiers in Psychology·María José ContrerasAntonio L Manzanero
Jul 13, 2021·Foot and Ankle Surgery : Official Journal of the European Society of Foot and Ankle Surgeons·Kenneth Chukwuemeka ObionuJonathan David Comins

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Software Mentioned

ltm
RUIMM2030
RUMM
RUMM2030
TAM
eRm package
lordif
Rasch
R
Windows

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