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Construct validity evaluates whether the indicator actually measures the underlying attribute.
Known groups validity evaluates the ability of the measure to discriminate between groups known to be clinically different [ 28].
Construct validity evaluates whether an instrument actually measures the phenomena that it theoretically predicts; correlation and factor analysis were used to evaluate construct validity in this study.
Known-groups validity evaluates the ability of a questionnaire to discriminate between groups by examining scores from subjects known to be different.
Clinical validity evaluates the extent to which the questionnaire is able to detect variability amongst patients with different clinical severity levels.
Content validity evaluates the extent to which the concepts of interest are represented by the different items in the questionnaire, and it is also an assessment of the patients' perceptions of the relevance of the questionnaire.
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Construct validity evaluated by factor analysis, as well as convergent and discriminant validity have also shown satisfactory results in pilot testing of the instrument [ 11].
Most studies evaluated criterion validity, none evaluated cross-cultural validity and information on measurement error is lacking.
Furthermore, the internal validity was evaluated using 10-fold cross validation.
Validity was evaluated by conducting three types of validation analyses: factor, construct and longitudinal.
The four cluster validity indices evaluated in this study all performed well in a recent evaluation study and are defined there28.
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