Overview
Measurement failures undermine research quality at the foundation: a study with perfect design, sampling, and analysis still produces invalid findings if the constructs are not measured validly. The most common measurement failure is treating face validity (the items "look right") as sufficient evidence of validity — when construct validity requires evidence from multiple sources: content coverage, internal consistency, convergent relationships with related constructs, and discriminant separation from different constructs.
The Measurement Validity Framework operationalizes constructs with precision, selects or develops instruments with documented validity evidence, calculates reliability coefficients that reveal measurement consistency, and assesses construct validity through the nomological network.