Assessing measurement invariance of MSQOL-54 across Italian and English versions

Giordano, Andrea; Testa, Silvia; Bassi, Marta; Cilia, Sabina; Bertolotto, Antonio; Quartuccio, Maria Esmeralda; Pietrolongo, Erika; Falautano, Monica; Grobberio, Monica; Niccolai, Claudia; Allegri, Beatrice; Viterbo, Rosa Gemma; Giovannetti, Ambra Mara; Cocco, Eleonora; Grasso, Maria Grazia; Ferriani, Elisa; Nocentini, Ugo; Zaffaroni, Mauro; Livera, Alysha M De; Jelinek, George A; Solari, Alessandra; Rosato, Rosalba

doi:10.1007/s11136-019-02352-0

Cited by 5 publications

(6 citation statements)

References 48 publications

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“…In the present study there were a number of limitations, some of which are reported elsewhere [ 26 ]. This secondary analysis was carried out in a large cross-sectional international MS database and should be confirmed in an independent sample, using a prospective longitudinal design.…”

Section: Discussionmentioning

confidence: 94%

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Viability of a MSQOL-54 general health-related quality of life score using bifactor model

Giordano

Testa

Bassi

et al. 2021

Health Qual Life Outcomes

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Background MSQOL-54 is a multidimensional, widely-used, health-related quality of life (HRQOL) instrument specific for multiple sclerosis (MS). Findings from the validation study suggested that the two MSQOL-54 composite scores are correlated. Given this correlation, it could be assumed that a unique total score of HRQOL may be calculated, with the advantage to provide key stakeholders with a single overall HRQOL score. We aimed to assess how well the bifactor model could account for the MSQOL-54 structure, in order to verify whether a total HRQOL score can be calculated. Methods A large international database (3669 MS patients) was used. By means of confirmatory factor analysis, we estimated a bifactor model in which every item loads onto both a general factor and a group factor. Fit of the bifactor model was compared to that of single and two second-order factor models by means of Akaike information and Bayesian information criteria reduction. Reliability of the total and subscale scores was evaluated with Mc Donald’s coefficients (omega, and omega hierarchical). Results The bifactor model outperformed the two second-order factor models in all the statistics. All items loaded satisfactorily (≥ 0.40) on the general HRQOL factor, except the sexual function items. Omega coefficients for total score were very satisfactory (0.98 and 0.87). Omega hierarchical for subscales ranged between 0.22 to 0.57, except for the sexual function (0.70). Conclusions The bifactor model is particularly useful when it is intended to acknowledge multidimensionality and at the same time take account of a single general construct, as the HRQOL related to MS. The total raw score can be used as an estimate of the general HRQOL latent score.

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Section: Discussionmentioning

confidence: 94%

“…To perform the present secondary analysis, we used data drawn from different datasets collected utilizing the MSQOL-54 within ongoing or completed projects conducted in Italy and Australia [ 26 ].…”

Section: Methodsmentioning

confidence: 99%

Viability of a MSQOL-54 general health-related quality of life score using bifactor model

Giordano

Testa

Bassi

et al. 2021

Health Qual Life Outcomes

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“…Residual invariance tests equivalence of metric and scalar item residuals. The motivation for testing configural, metric and scalar invariance only, is based on comparison as outlined by De Vet et al in discussing cross-cultural validity and the assessment of MI [31] as well as examples from other fields [51,52]. Strengths of the study include that the sample size was adequate for the intended analysis and robust COSMIN methods were followed.…”

Section: Discussionmentioning

confidence: 99%

Structural and cross-cultural validity of the Afrikaans for the Western Cape Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire

Klerk

Buchanan

Niekerk

2023

J Patient Rep Outcomes

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Background The Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire has been translated and cross-culturally adapted to Afrikaans for the Western Cape, within the public health service context of South Africa. The aim of this study was to evaluate structural validity, internal consistency, and cross-cultural validity/measurement invariance of this new translation to increase applicability and clinical utility in a public health service context. Methods During this cross-sectional study, exploratory factor analysis (EFA) was conducted with parallel analysis and oblimin rotation. Confirmatory factor analysis (CFA) and multiple group confirmatory factor analysis (MGCFA) to assess cross-cultural validity/measurement invariance, was employed to test model fit with X2 goodness-of-fit statistic, root mean square error of approximation (RMSEA), standardized root mean square residual (SRMR) and comparative fit index (CFI). Internal consistency was calculated using Cronbach’s alpha. Results 109 women and 110 men (n = 219) completed the Afrikaans for the Western Cape and the South African English DASH questionnaire, used during the analysis. Unidimensionality of the Afrikaans for the Western Cape DASH questionnaire was not supported in the 218 questionnaires eligible for inclusion in the analysis [X2 (df) = 1799.10 (405); p value = < 0.01; RMSEA (90% CI) = 0.126 (0.120–0.132); SRMR = 0.09 and CFI = 0.984]. EFA revealed a two-factor structure with Eigenvalues exceeding one explaining 55% and 7% of the variance. The two-factor structure of the Afrikaans for the Western Cape DASH questionnaire was supported during CFA. Cronbach’s alpha revealed good internal consistency of both factors [factor 1 = 0.97 (0.96, 0.97) and factor 2 = 0.92 (0.90, 0.94)]. MGCFA conducted between 218 Afrikaans for the Western Cape DASH and 219 South African English DASH questionnaires (N = 437) revealed that the data supports configural, metric and scalar invariance models during initial model fit assessment. Subsequent hypotheses testing comparing the nested models revealed that scalar invariance holds. Conclusion The Afrikaans for the Western Cape DASH questionnaire revealed a two-factor structure with good internal consistency across the two factors and demonstrated measurement invariance with the South African English DASH questionnaire.

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“…The data for the present secondary analysis are derived from different datasets collected with the English and Italian versions of the MSQOL-54 within ongoing or completed projects conducted in Australia and Italy [ 37 , 39 ] (see Appendix, Additional File).…”

Section: Methodsmentioning

confidence: 99%

“…The dataset included 3669 MS patients (mean age 43.8 years [range 18–87], 74% women, 54% with a mild level of disability, and mean disease duration of 7.2 years [0–48]) (Table 1 ). Of these, 2064 (56%) were English- and 1605 (44%) were Italian-speaking [ 37 , 39 ]. Data from the English and Italian versions were pooled after ensuring measurement invariance of the MSQOL-54 across the two language versions [ 39 ].…”

Section: Methodsmentioning

confidence: 99%

Applying multidimensional computerized adaptive testing to the MSQOL-54: a simulation study

Giordano

Testa

Bassi

et al. 2023

Health Qual Life Outcomes

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Background The Multiple Sclerosis Quality of Life-54 (MSQOL-54) is one of the most commonly-used MS-specific health-related quality of life (HRQOL) measures. It is a multidimensional, MS-specific HRQOL inventory, which includes the generic SF-36 core items, supplemented with 18 MS-targeted items. Availability of an adaptive short version providing immediate item scoring may improve instrument usability and validity. However, multidimensional computerized adaptive testing (MCAT) has not been previously applied to MSQOL-54 items. We thus aimed to apply MCAT to the MSQOL-54 and assess its performance. Methods Responses from a large international sample of 3669 MS patients were assessed. We calibrated 52 (of the 54) items using bifactor graded response model (10 group factors and one general HRQOL factor). Then, eight simulations were run with different termination criteria: standard errors (SE) for the general factor and group factors set to different values, and change in factor estimates from one item to the next set at < 0.01 for both the general and the group factors. Performance of the MCAT was assessed by the number of administered items, root mean square difference (RMSD), and correlation. Results Eight items were removed due to local dependency. The simulation with SE set to 0.32 (general factor), and no SE thresholds (group factors) provided satisfactory performance: the median number of administered items was 24, RMSD was 0.32, and correlation was 0.94. Conclusions Compared to the full-length MSQOL-54, the simulated MCAT required fewer items without losing precision for the general HRQOL factor. Further work is needed to add/integrate/revise MSQOL-54 items in order to make the calibration and MCAT performance efficient also on group factors, so that the MCAT version may be used in clinical practice and research.

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Assessing measurement invariance of MSQOL-54 across Italian and English versions

Cited by 5 publications

References 48 publications

Viability of a MSQOL-54 general health-related quality of life score using bifactor model

Viability of a MSQOL-54 general health-related quality of life score using bifactor model

Structural and cross-cultural validity of the Afrikaans for the Western Cape Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire

Applying multidimensional computerized adaptive testing to the MSQOL-54: a simulation study

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