Which validity refers to performing correlational analysis on multiple tools assessing the same concept?

Construct validity is the appropriate term for the validity that involves performing correlational analysis on multiple tools that assess the same concept. It focuses on whether a particular measurement tool accurately reflects the theoretical construct it is intended to measure. For instance, if different surveys or instruments are designed to assess the same underlying concept, such as anxiety, construct validity can be evaluated by examining how well these tools correlate with each other.

This type of validity helps to ensure that the instruments used capture the intended construct thoroughly and provides a foundation for using these tools in further research and clinical applications. Establishing strong construct validity is essential for confirming that the measurements used are relevant and accurately represent the theoretical constructs they are designed to measure.

In contrast, predictive validity relates to how well a tool can forecast future outcomes, concurrent validity assesses how well a tool correlates with other measures taken at the same time, and divergent validity examines how distinct a tool is from other measurements that are not supposed to be related. While these concepts are important in evaluating the effectiveness of various assessment tools, they do not specifically address the correlation of multiple instruments measuring the same construct as construct validity does.