New Research Reveals How Validity Shapes Accurate Data Interpretation
Validity in scientific research is crucial for ensuring that the measurements and interpretations are accurate. There are different types of validity, including criterion, concurrent, ecological, and predictive. Criterion validity compares test results with outcomes, concurrent validity compares new tests with established ones, ecological validity assesses how well results apply to the real world, and predictive validity measures how well a test can predict characteristics. It's important to note that reliability and validity are separate concepts in research.