Which of the following best describes construct validity?

Prepare for the Evidence‑Informed Practice (EIP) Exam. Study using flashcards and multiple choice questions with hints and explanations. Ensure success!

The correct choice accurately defines construct validity as the extent to which a test measures what it claims to measure. This concept is central to understanding how well an assessment tool or measure represents the theoretical construct it is intended to evaluate. For example, if a psychological test is designed to measure anxiety, strong construct validity would indicate that the test effectively assesses anxiety rather than other unrelated traits, such as intelligence or mood.

Construct validity is multi-dimensional and often evaluated through various methods, such as correlating the test with other established measures of the same construct (concurrent validity) or demonstrating that it can accurately predict outcomes that theoretical frameworks would suggest it should predict (predictive validity). Additionally, construct validity encompasses both convergent and divergent validity, ensuring that a test correlates with related constructs and does not correlate with unrelated ones.

Other options, while relevant to psychometric evaluation, do not capture the essence of construct validity. The ability to confirm previous research findings speaks more to the reproducibility of results rather than the accuracy of what the measure assesses. Reliability across different populations pertains to the consistency of a measure rather than its validity. Lastly, the ability of a test to categorize subjects accurately relates more to the concept of criterion-related validity or diagnostic accuracy rather than specifically addressing how well

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