A modelling strategy that accounts for measurement outside the laboratory, where one cannot base measurements on a single simple law, will have to drop the requirement that the model is a homomorphic mapping of the empirical relational structure. The model used for measurement will be a...

The metrology literature neglects a strong empirical measurement tradition in economics, which is different from the traditions as accounted for by the formalist representational theory of measurement. This empirical tradition comes closest to Mari's characterization of measurement in which he...

The article discusses economic models as instruments of measuring economic phenomena from obtainable numerical facts; as in the theory of measurement where measurement is the mapping of a property of the empirical world into sets of numbers. Contributions of notable people such as Ragnar Frisch...

There are at least two elements of theory completion necessary for measurement: (1) a measurement formula and (2) standardization of that representation. Standardization is based on the search for stability. The more stable the correlation which the measurement formula represents is, the less...

The Representational Theory of Measurement conceives measurement as establishing homomorphisms from empirical relational structures into numerical relation structures, called models. There are two different approaches to deal with the justification of a model: an axiomatic and an empirical...

The kinds of models discussed in this paper function as measuring instruments. We will concentrate on two necessary steps for measurement: (1) one should search for a mathematical representation of the phenomenon; (2) this representation about the phenomenon should cover an invariant...

According to Suppes, measurement theory, like any scientific theory, should consist of two parts, an abstract set-theoretical defined structure and the empirical interpretation of that structure. An empirical interpretation means the specification – “coordinating definitions” – of a...

For measurement outside the laboratory, uncertainty evaluations have to be model-based. Therefore models should not only represent the measure and but also its environment. For measurement in social science these models will be too complex, therefore instead of white-box models, grey-box...