Functional measurement, individual preference and discrete-choice modelling: Theory and application
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TL;DR
How theory developed in the study of individual judgement and choice behaviour can be implemented and tested using principles from the design and analysis of statistical experiments is outlined and applied to a study of the potential for electric vehicles.
Abstract
This paper outlines how theory developed in the study of individual judgement and choice behaviour can be implemented and tested using principles from the design and analysis of statistical experiments. The particular method, termed functional measurement is outlined briefly and then applied to a study of the potential for electric vehicles. The natural link with multi-attribute utility theory and the precise requirements for measurement assumptions make the approach appealing as a method for modelling individual's decision processes.