Common use of Discriminant validity Clause in Contracts

Discriminant validity. One-way ANOVAs tested whether child- and parent-report scores on Total, GA, and SA subscales differed across diagnostic groups (HC, GAD, SAD, GAD+SAD). Discriminant validity will be confirmed if: 1) each anxious group (GAD, SAD, GAD+SAD) has higher Total, GA, and SA scores than the HC group; 2) the GAD and SAD groups differ such that GAD have higher GA scores than SAD, and SAD have higher SA scores than GAD; and 3) the GAD+SAD group has higher GA scores than the SAD group, and SA scores than the GAD group. Significant group differences were interrogated with Bonferroni pairwise comparisons. Because six comparisons were conducted for each scale, the p-value was adjusted for multiple comparisons for each scale (critical p-value = 0.05/6 = .008). When ▇▇▇▇▇▇▇-▇▇▇▇ tests identified non- normally distributed data (see Table 2), results were confirmed with Kruskal-Wallis tests. ▇▇▇▇▇-▇▇▇▇▇▇▇▇ tests revealed unequal variance for Total, GA, and SA scores across groups in both studies. However, ▇▇▇▇▇▇▇’▇ T3 post-hoc tests largely confirmed findings (see supplementary materials for further details).

Appears in 1 contract

Sources: Accepted Manuscript

Discriminant validity. One-way ANOVAs tested whether child- and parent-report scores on Total, GA, and SA subscales differed across diagnostic groups (HC, GAD, SAD, GAD+SAD). Discriminant validity will be confirmed if: 1) each anxious group (GAD, SAD, GAD+SAD) has higher Total, GA, and SA scores than the HC group; 2) the GAD and SAD groups differ such that GAD have higher GA scores than SAD, and SAD have higher SA scores than GAD; and 3) the GAD+SAD group has higher GA scores than the SAD group, and SA scores than the GAD group. Significant group differences were interrogated with Bonferroni pairwise comparisons. Because six comparisons were conducted for each scale, the p-value was adjusted for multiple comparisons for each scale (critical p-value = 0.05/6 = .008). When ▇▇▇▇▇▇▇-▇▇▇▇ tests identified non- non-normally distributed data (see Table 2), results were confirmed with Kruskal-Wallis tests. ▇▇▇▇▇-▇▇▇▇▇▇▇▇ tests revealed unequal variance for Total, GA, and SA scores across groups in both studies. However, ▇▇▇▇▇▇▇’▇ T3 post-hoc tests largely confirmed findings (see supplementary materials for further details).. Author Manuscript Author Manuscript

Appears in 1 contract

Sources: Author Manuscript