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Table 1 shows the questionnaire dimensions and the included items.
References 20 and 21. 2 WOMAC questionnaire dimensions.
Factor analysis supported construct validity of all questionnaire dimensions except SF-36 psychosocial dimensions.
Patients had a low score for all SF-36 questionnaire dimensions at baseline.
All of the questionnaire dimensions acquired an internal consistency of α≥0.78 [ 16].
In addition, questionnaire dimensions must be evaluated concurrently, given that internal consistency decreases when these are analyzed individually.
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Construct validity was evaluated for each questionnaire dimension by estimating internal consistency and convergent and divergent validity [ 28, 39].
Internal consistency was assessed through estimation of Cronbach's alphas for each questionnaire dimension, as recommended by Terwee and collaborators [ 40].
After the correlation matrix of variables and principal component analysis for each questionnaire dimension were done (data not shown), the third draft of the questionnaire was reduced to 94 items.
Methods: Linear and fractional polynomial regression analyses were performed with data from a study of Parkinson's disease patients (n=138) to predict the EQ-5D index values from UPDRS and Parkinson's disease questionnaire eight dimensions (PDQ-8) data.
When preparing the questionnaire, the dimensions and expressions used for describing the acceptance of technology were obtained from the study of Venkatesh et al. (2003), the developers of the UTAUT model.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com