Sentence examples for validity measurements from inspiring English sources

Also, among various validity measurements, construct validity is particularly important as it considers how the measures of the instrument relate to the overall theoretical hypotheses [ 24] – in our case, that the food environment is associated with weight status.

When performing validity measurements, a number of items on the GABS had a correlation coefficient significant at p<0.01 (2-tailed).

In this study, accuracy of IK4 measurements with the use of standard toric surfaces was within 0.25 D. Validity measurements obtained in 860 children aged 3-7 years demonstrated slightly greater astigmatism measurements in the IK4 than in the Retinomax K+.

To assess 3-D validity, measurements were compared between 2-D and 3-D projected parameters.

The subscale inter correlation matrix, total to subscale correlations, test – retest values and the validity measurements all imply that when the coping subscale is excluded, IPFAM becomes a more concise instrument for measuring family impact.

Recently, this has led to academic discussions of content validity, measurement and overlap of different indices, and calls for more careful and theoretically grounded selection of which index to use for empirical analyses of different issues (Goodman, 2015; Helbling, 2013).

The presented method can be seen as a validity measurement predefining a well-established network as a gold standard [ 22].

Statistical analyses to evaluate reliability, structural validity, measurement invariance, presence of floor and ceiling effects and to some extent external validity of the MHC-SF were carried out.

Three broad categories of validity (measurement, internal study, and external) are discussed in the context of evaluating data for use in quantitative risk assessment.

The DB index is an effective cluster validity measurement which is defined as a function of the ratio of the sum of within-cluster scatter to the between-cluster separation.

Rather than reflecting lack of validity, measurement bias, denial, or willful distortion, these phenomenological factors may reflect individual differences and intra-individual changes in internal standards, values, and meaning of QOL [ 1, 17].