Discriminant validity is a type of validity used in psychology and social sciences to assess whether a particular construct or measure is distinct and not overly correlated with other constructs that it should theoretically be different from. In essence, discriminant validity ensures that a measurement does not correlate too highly with other measures that are supposed to be conceptually unrelated. To establish discriminant validity, researchers typically use various statistical techniques, including: 1. **Correlation Analysis**: Assessing the correlations between measures of different constructs.
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Evidence that measures distinguish the intended construct from relevant competing constructs. It requires substantive expectations about relationships, not a universal rule that every correlation with another construct must be zero.