Classical test theory and Rasch analysis validation of the Recent-Onset Arthritis Disability questionnaire in rheumatoid arthritis patients
Disability has been identified as a core outcome measure in rheumatoid arthritis (RA). The aim of this study was to perform a comprehensive psychometric analysis of the Recent-Onset Arthritis Disability (ROAD) questionnaire in patients with RA. The questionnaire was completed by 583 patients with RA...
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Published in | Clinical rheumatology Vol. 32; no. 2; pp. 211 - 217 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Springer-Verlag
01.02.2013
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0770-3198 1434-9949 1434-9949 |
DOI | 10.1007/s10067-012-2101-6 |
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Abstract | Disability has been identified as a core outcome measure in rheumatoid arthritis (RA). The aim of this study was to perform a comprehensive psychometric analysis of the Recent-Onset Arthritis Disability (ROAD) questionnaire in patients with RA. The questionnaire was completed by 583 patients with RA: 196 subjects participating in the NEW INDICES study and 387 subjects who were taking part in a long-term observational study. At confirmatory factor analysis for categorical data, data fit for a three-factor model was adequate to good (non-normed fit index = 0.98, comparative fit index = 0.99, root mean square error of approximation = 0.079, standardized root mean square residual = 0.047), with standardized item-to-factor loadings ranging from 0.60 to 0.90 and a cumulative explained variance of 83 %. The bifactor model of ROAD presented a clean independent cluster structure. The loadings in the unidimensional model were very similar to those on the general factor in the bifactor model. Rasch analysis showed a correct functioning of rating categories, a good fit of the data to the model for all three subscales, and satisfactory separation indexes and respective reliability (for both persons and items). This study, using both classical test theory and Rasch analysis methods, provides psychometric evidence of the reliability and internal and structural validity of ROAD in RA patients. Our results support the use of separate subscores for upper limb function, lower limb function, and activities of daily living/work, and the appropriateness of reporting an overall score (i.e., the mean of the three subscales). |
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AbstractList | Disability has been identified as a core outcome measure in rheumatoid arthritis (RA). The aim of this study was to perform a comprehensive psychometric analysis of the Recent-Onset Arthritis Disability (ROAD) questionnaire in patients with RA. The questionnaire was completed by 583 patients with RA: 196 subjects participating in the NEW INDICES study and 387 subjects who were taking part in a long-term observational study. At confirmatory factor analysis for categorical data, data fit for a three-factor model was adequate to good (non-normed fit index = 0.98, comparative fit index = 0.99, root mean square error of approximation = 0.079, standardized root mean square residual = 0.047), with standardized item-to-factor loadings ranging from 0.60 to 0.90 and a cumulative explained variance of 83 %. The bifactor model of ROAD presented a clean independent cluster structure. The loadings in the unidimensional model were very similar to those on the general factor in the bifactor model. Rasch analysis showed a correct functioning of rating categories, a good fit of the data to the model for all three subscales, and satisfactory separation indexes and respective reliability (for both persons and items). This study, using both classical test theory and Rasch analysis methods, provides psychometric evidence of the reliability and internal and structural validity of ROAD in RA patients. Our results support the use of separate subscores for upper limb function, lower limb function, and activities of daily living/work, and the appropriateness of reporting an overall score (i.e., the mean of the three subscales). Disability has been identified as a core outcome measure in rheumatoid arthritis (RA). The aim of this study was to perform a comprehensive psychometric analysis of the Recent-Onset Arthritis Disability (ROAD) questionnaire in patients with RA. The questionnaire was completed by 583 patients with RA: 196 subjects participating in the NEW INDICES study and 387 subjects who were taking part in a long-term observational study. At confirmatory factor analysis for categorical data, data fit for a three-factor model was adequate to good (non-normed fit index = 0.98, comparative fit index = 0.99, root mean square error of approximation = 0.079, standardized root mean square residual = 0.047), with standardized item-to-factor loadings ranging from 0.60 to 0.90 and a cumulative explained variance of 83 %. The bifactor model of ROAD presented a clean independent cluster structure. The loadings in the unidimensional model were very similar to those on the general factor in the bifactor model. Rasch analysis showed a correct functioning of rating categories, a good fit of the data to the model for all three subscales, and satisfactory separation indexes and respective reliability (for both persons and items). This study, using both classical test theory and Rasch analysis methods, provides psychometric evidence of the reliability and internal and structural validity of ROAD in RA patients. Our results support the use of separate subscores for upper limb function, lower limb function, and activities of daily living/work, and the appropriateness of reporting an overall score (i.e., the mean of the three subscales).Disability has been identified as a core outcome measure in rheumatoid arthritis (RA). The aim of this study was to perform a comprehensive psychometric analysis of the Recent-Onset Arthritis Disability (ROAD) questionnaire in patients with RA. The questionnaire was completed by 583 patients with RA: 196 subjects participating in the NEW INDICES study and 387 subjects who were taking part in a long-term observational study. At confirmatory factor analysis for categorical data, data fit for a three-factor model was adequate to good (non-normed fit index = 0.98, comparative fit index = 0.99, root mean square error of approximation = 0.079, standardized root mean square residual = 0.047), with standardized item-to-factor loadings ranging from 0.60 to 0.90 and a cumulative explained variance of 83 %. The bifactor model of ROAD presented a clean independent cluster structure. The loadings in the unidimensional model were very similar to those on the general factor in the bifactor model. Rasch analysis showed a correct functioning of rating categories, a good fit of the data to the model for all three subscales, and satisfactory separation indexes and respective reliability (for both persons and items). This study, using both classical test theory and Rasch analysis methods, provides psychometric evidence of the reliability and internal and structural validity of ROAD in RA patients. Our results support the use of separate subscores for upper limb function, lower limb function, and activities of daily living/work, and the appropriateness of reporting an overall score (i.e., the mean of the three subscales). Disability has been identified as a core outcome measure in rheumatoid arthritis (RA). The aim of this study was to perform a comprehensive psychometric analysis of the Recent-Onset Arthritis Disability (ROAD) questionnaire in patients with RA. The questionnaire was completed by 583 patients with RA: 196 subjects participating in the NEW INDICES study and 387 subjects who were taking part in a long-term observational study. At confirmatory factor analysis for categorical data, data fit for a three-factor model was adequate to good (non-normed fit index=0.98, comparative fit index=0.99, root mean square error of approximation=0.079, standardized root mean square residual=0.047), with standardized item-to-factor loadings ranging from 0.60 to 0.90 and a cumulative explained variance of 83 %. The bifactor model of ROAD presented a clean independent cluster structure. The loadings in the unidimensional model were very similar to those on the general factor in the bifactor model. Rasch analysis showed a correct functioning of rating categories, a good fit of the data to the model for all three subscales, and satisfactory separation indexes and respective reliability (for both persons and items). This study, using both classical test theory and Rasch analysis methods, provides psychometric evidence of the reliability and internal and structural validity of ROAD in RA patients. Our results support the use of separate subscores for upper limb function, lower limb function, and activities of daily living/work, and the appropriateness of reporting an overall score (i.e., the mean of the three subscales).[PUBLICATION ABSTRACT] Disability has been identified as a core outcome measure in rheumatoid arthritis (RA). The aim of this study was to perform a comprehensive psychometric analysis of the Recent-Onset Arthritis Disability (ROAD) questionnaire in patients with RA. The questionnaire was completed by 583 patients with RA: 196 subjects participating in the NEW INDICES study and 387 subjects who were taking part in a long-term observational study. At confirmatory factor analysis for categorical data, data fit for a three-factor model was adequate to good (non-normed fit index = 0.98, comparative fit index = 0.99, root mean square error of approximation = 0.079, standardized root mean square residual = 0.047), with standardized item-to-factor loadings ranging from 0.60 to 0.90 and a cumulative explained variance of 83 %. The bifactor model of ROAD presented a clean independent cluster structure. The loadings in the unidimensional model were very similar to those on the general factor in the bifactor model. Rasch analysis showed a correct functioning of rating categories, a good fit of the data to the model for all three subscales, and satisfactory separation indexes and respective reliability (for both persons and items). This study, using both classical test theory and Rasch analysis methods, provides psychometric evidence of the reliability and internal and structural validity of ROAD in RA patients. Our results support the use of separate subscores for upper limb function, lower limb function, and activities of daily living/work, and the appropriateness of reporting an overall score (i.e., the mean of the three subscales). |
Author | Franchignoni, Franco Gasparini, Stefania Salaffi, Fausto Ottonello, Marcella Giordano, Andrea Ciapetti, Alessandro |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23065133$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1007_s11136_013_0570_y crossref_primary_10_1016_j_cgh_2014_02_016 crossref_primary_10_1155_2015_930756 crossref_primary_10_1007_s00296_018_4096_z crossref_primary_10_1007_s11547_022_01499_0 crossref_primary_10_2217_ijr_13_24 crossref_primary_10_1080_2162402X_2017_1386826 crossref_primary_10_1016_j_semarthrit_2017_09_013 crossref_primary_10_1007_s00296_018_4216_9 crossref_primary_10_1080_03007995_2017_1338562 crossref_primary_10_1371_journal_pone_0254984 crossref_primary_10_1007_s00296_017_3792_4 crossref_primary_10_3390_jpm15010030 crossref_primary_10_1016_j_ejim_2019_05_017 |
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Copyright | Clinical Rheumatology 2012 Clinical Rheumatology 2013 |
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Keywords | Disability Functional status Recent-Onset Arthritis Disability (ROAD) questionnaire Patient-reported outcome Psychometrics Rheumatoid arthritis |
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SubjectTerms | Activities of Daily Living Adult Aged Arthritis, Rheumatoid - diagnosis Arthritis, Rheumatoid - physiopathology Arthritis, Rheumatoid - psychology Disability Evaluation Female Humans Male Medicine Medicine & Public Health Middle Aged Motor Activity original Article Outpatients - psychology Psychometrics - methods Psychometrics - standards Reproducibility of Results Rheumatology Severity of Illness Index Surveys and Questionnaires - standards |
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Title | Classical test theory and Rasch analysis validation of the Recent-Onset Arthritis Disability questionnaire in rheumatoid arthritis patients |
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