2020
DOI: 10.1186/s12891-020-3178-8
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Graded response model fit, measurement invariance and (comparative) precision of the Dutch-Flemish PROMIS® Upper Extremity V2.0 item bank in patients with upper extremity disorders

Abstract: Background: The Dutch-Flemish PROMIS® Upper Extremity (DF-PROMIS-UE) V2.0 item bank was recently developed using Item Response Theory (IRT). Unknown for this bank are: (1) if it is legitimate to calculate IRT-based scores for short forms and Computerized Adaptive Tests (CATs), which requires that the items meet the assumptions of and fit the IRT-model (Graded Response Model [GRM]);(2) if it is legitimate to compare (sub) groups of patients using this measure, which requires measurement invariance; and (3) the … Show more

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Cited by 14 publications
(16 citation statements)
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“…Monotonicity was evaluated with Mokken scaling carried out with the R package "Mokken" (version 3.0.2), using the scalability coefficient H for each item and the questionnaire in its entirety. The assumption of monotonicity was confirmed if the item scalability coefficients were ≥ 0.3 and the scalability coefficient H i for the entire questionnaire was ≥ 0.5 [36].…”
Section: Clinimetric Properties From Modern Measurement Theorymentioning
confidence: 95%
See 1 more Smart Citation
“…Monotonicity was evaluated with Mokken scaling carried out with the R package "Mokken" (version 3.0.2), using the scalability coefficient H for each item and the questionnaire in its entirety. The assumption of monotonicity was confirmed if the item scalability coefficients were ≥ 0.3 and the scalability coefficient H i for the entire questionnaire was ≥ 0.5 [36].…”
Section: Clinimetric Properties From Modern Measurement Theorymentioning
confidence: 95%
“…In other words, the item responses should be entirely a function of the underlying trait, and not (partly) dependent on a second factor [34]. To determine this, we looked at the residual correlation matrix from the previously described single-factor CFA, and considered a value of 0.2 above the average residual correlation as the cut-off for local independence [36]. (3) Lastly, the concept of monotonicity was examined.…”
Section: Clinimetric Properties From Modern Measurement Theorymentioning
confidence: 99%
“…We ran a MIRT graded response model using flexMIRT software [ 53 ] which is used for polytomous responses such as Likert scales [ 54 ], to examine the extent to which the items differentiate among individuals across different degrees of the underlying traits. The slope parameter ( a ) refers to the item’s discriminative ability, with higher values indicating a stronger association with the construct [ 55 ], and the intercept ( d ) refers to the log-odds of responding above a given category when the latest trait θ = 0. Items with a slope parameter ( a ) between 1.35 and 1.70 were considered to have high discrimination and above 1.70 considered to have very high discrimination [ 56 ].…”
Section: Methodsmentioning
confidence: 99%
“…To evaluate the item fit, the generalized Orlando and Thissen's S-X 2 index for polytomous data was used [35], comparing the observed and expected response frequencies under the estimated MIRT model. Eventually items with S-X 2 p-value<0.001 were considered poorly fitted [36].…”
Section: Discussionmentioning
confidence: 99%