Convergent validity is demonstrated when a measure...

Convergent validity is demonstrated when a measure...

• A. It has high internal consistency with its own items.
• B. It correlates with unrelated constructs.
• C. It correlates with other measures of the same construct.
• D. It predicts future outcomes reliably.

Answer: (C)

Convergent validity shows that a measure aligns with other established measures of the same construct, producing a strong positive correlation. This indicates that different instruments are tapping into the same underlying concept. For example, a new scale for depression should correlate highly with an established depression inventory, confirming it measures the same construct. High internal consistency reflects reliability of the items within the test, not whether it matches other measures of the same construct. Correlating with unrelated constructs suggests poor convergent validity and touches on discriminant validity. Predicting future outcomes indicates predictive validity, a different facet that concerns forecasting criteria rather than agreement with other measures at the same time.

Convergent validity shows that a measure aligns with other established measures of the same construct, producing a strong positive correlation. This indicates that different instruments are tapping into the same underlying concept. For example, a new scale for depression should correlate highly with an established depression inventory, confirming it measures the same construct.

High internal consistency reflects reliability of the items within the test, not whether it matches other measures of the same construct. Correlating with unrelated constructs suggests poor convergent validity and touches on discriminant validity. Predicting future outcomes indicates predictive validity, a different facet that concerns forecasting criteria rather than agreement with other measures at the same time.