Articles that introduce new measures tend to focus their attention on factor structure, convergent validity, and discriminant validity, with less attention paid to content validity. Moreover, when content validity is examined, there is often ambiguity surrounding the appropriate tests and the standards for acceptability. In this talk, I’ll guide the audience through Colquitt, Sabey, Rodell, and Hill’s (2019) extension of Hinkin and Tracey’s (1999) quantitative approach to content validation. Using a running example, the talk will focus on creating construct definitions, generating items, choosing appropriate orbiting measures, gathering validation data, calculating definitional correspondence, calculating definitional distinctiveness, and applying evaluation criteria. The talk will include all the specific details needed to apply the method, along with a discussion of the judgment calls encountered when doing so.