| Sumario: | Psychometrics and the representational theory of measurement (RTM) are widely used in social scientific measurement. They are currently pursued largely in isolation from one another. I argue that despite their separation in practice, RTM and psychometrics are complementary approaches, because they can contribute in complementary ways to the establishment of what I argue is a crucial measurement property, namely, representational interpretability. Because RTM and psychometrics are complementary in the establishment of representational interpretability, the current separation of measurement approaches is unfounded. 1 Introduction 2 Two Approaches to Measurement 2.1 Representational theory of measurement 2.2 Psychometrics 2.3 Representational interpretability 3 Complementarity, Conceptually 3.1 Representational theory of measurement: Conditions of representational interpretability 3.2 Psychometrics: Evidence of representational interpretability 4 Complementarity in Action 4.1 What is the Rasch model? 4.2 Rasch and conjoint measurement 5 Conclusion: Critics and Fruits of Complementarity
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