Measurement Validity
Brie Diamond
Abstract
Brie Diamond
Abstract
Measurement validity evaluates the relationship between a concept and an empirical indicator of that concept. Validity as a predictor of corporate crime; however, the same measure would be a valid predictor of violent street crime. Validity assessment takes various forms depending upon the measure at hand and its intended purpose. Face validity, content validity, construct validity, and criterion-related validity evaluate the accuracy of a given measure in different ways. Content validity concerns itself with whether or not a given indicator captures the full range of the concept it is intended to measure. Criterion-related validity concerns how well a measure relates to some external criterion that measures the same concept or which the measure is intended to predict. Predictive validity is attained if a given measure predicts a future outcome that it is designed to forecast.
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Measurement validity evaluates the relationship between a concept and an empirical indicator of that concept. Validity as a predictor of corporate crime; however, the same measure would be a valid predictor of violent street crime. Validity assessment takes various forms depending upon the measure at hand and its intended purpose. Face validity, content validity, construct validity, and criterion-related validity evaluate the accuracy of a given measure in different ways. Content validity concerns itself with whether or not a given indicator captures the full range of the concept it is intended to measure. Criterion-related validity concerns how well a measure relates to some external criterion that measures the same concept or which the measure is intended to predict. Predictive validity is attained if a given measure predicts a future outcome that it is designed to forecast.
Key concepts: Criterion validity, Face validity, Measure (data warehouse), Construct validity, Predictive validity, Content validity, Incremental validity, External validity