Sentence examples for validity of such measures from inspiring English sources

Interestingly, the statistical approaches for validation of screening and diagnostic self-report assessments are wholly consistent with MCI validation methods presented in this article, since the validity of such measures is based on evidence from logistic regression, discriminant, and Receiver Operator analyses [ 39- 41].

The validity of such measures to promote free discussion may be negated by Article 87 of the Constitution, which provides that any Minister, Minister of State or Parliamentary Secretary specially authorized by the Prime Minister may attend these private meetings.

Further research is required in larger representative groups, and with more refined predictor measures and behavioural assessment methods, to establish beyond doubt the incremental validity of such measures over conventional cognitive assessments.

Some such measures have a burgeoning corpus of psychometric evidence (e.g., Achenbach System of Empirically Based Assessment, ASEBA [ 4]; the Strengths and Difficulties Questionnaire, SDQ [ 5, 6]) and a number of reviews have usefully summarized the validity and reliability of such measures [ 7, 8].

Examples of such measures include screening tools and diagnostic measures, where the validity of the measure is assessed using (probabilistic) classification methods against a clinical standard, including demonstration of the positive/negative predictive value and sensitivity/specificity of resulting classifications.

The effect of such measures seems limited.

These data support the validity of such outcome measures.

However, on p. 42 of the manual, it is stated: "some authors have questioned the reliability and validity of such retrospective measures of change [ 4].

This study aimed at evaluating the reliability and validity of such an instrument in measuring the RSC in sociotechnical systems.

But it is hard to measure the validity of such claims.

The validity of such a single item SMS score to measure latent depression is not currently known and is vital if SMS data are to inform clinical evaluation in the future.