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The validity is measured based on the number of satisfied constraints.
Predictive validity is measured by the size of the correlation score between the scale predictor and a criterion variable [ 25].
Convergent validity is measured as correlations between the same construct measured with different raters, and discriminant correlations denotes correlations between different constructs measured either by the same rater or by different raters.
Criterion validity is measured by comparing WORC with a general quality of life questionnaire (SF-36) and a commonly used clinical shoulder score (Constant Score) both at T0 and T1.
Clinical validity is measured by the predictive ability or discriminative power of the genetic variant: its ability to classify individuals as those who will develop the disease and those who will not [ 21].
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Validity was measured using a Bland-Altman plot, which measures bias between measurement methods as well as variability of scatter.
Strong content validity was measured through a committee vetting process.
Face and content validity was measured by blueprint and a table of specification.
The construct validity was measured by Grade of Membership (GOM) analysis.
Scale reliability was measured using a Cronbach alpha test; validity was measured via correlating with a related variable.
Concurrent validity was measured by assessing the correlation between DSQ score and scores from the PGA of disease activity, a conceptually similar outcome measure.
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