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Testing Expectancy Models: A Conjoint Measurement Approach Cover

Testing Expectancy Models: A Conjoint Measurement Approach

By: Rudi Van Hoe  
Open Access
|Jan 1987

Abstract

The term expectancy theories refers to a category of social cognitive theories that use the same underlying Subjective Expected Utility (SEU) model for describing goal directed behavior. However, the mathematical SEU formulation has in many expectancy theories a dubious validity. Expectancy theorists lack an adequate measurement model to test their formal theory in a valid way. The conjoint measurement approach is proposed as a possible solution for this problem. In two experiments we tested an expectancy model respectively by means of the UNICON scaling algorithm for conjoint measurement and by means of an axiomatic approach. Evidence was found for the functional form of the SEU model, which implies that the subjective probability (expectancy) and the utility of an outcome of an action combine multiplicatively while the resultant products combine additively. In the discussion, it is argued that only the descriptive validity of a model has been proven. More research is needed to identify the cognitive processes that can be described by addition and multiplication.

DOI: https://doi.org/10.5334/pb.765 | Journal eISSN: 0033-2879
Language: English
Published on: Jan 1, 1987
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 1987 Rudi Van Hoe, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.