_____ is defined as the degree to which the data measures what was intended to be measured.

Definition of Validity

Validity refers to the degree to which the data accurately measures what it is intended to measure. In research and assessment contexts, it is crucial to ensure that the tools and methods used for measurement truly capture the concept or variable they are designed to evaluate. For instance, if a test is designed to measure mathematical ability, its validity would be determined by how well the test questions reflect true mathematical skills.

There are several types of validity:

1. Content Validity: Ensures that the test covers the entire content area it is supposed to measure.
2. Construct Validity: Evaluates whether the test truly measures the theoretical construct it intends to measure.
3. Criterion Validity: Assesses how well one measure predicts an outcome based on another measure.

In summary, validity is a fundamental aspect of any measurement tool, as it impacts the reliability and generalizability of the findings derived from the data collected.