Conjoint-measurement analysis of composition rules in psychology.

1971/03/01 by David H. Krantz, Amos Tversky · 2 citations
Computer Science · Decision Sciences · Mathematics · Psychology · #Applied psychology #Bayesian Modeling and Causal Inference #Cognitive Science and Mapping #Cognitive psychology #Composition (language) #Conjoint analysis #Econometrics #Mathematics #Multi-Criteria Decision Making #Preference #Psychology #Statistics

paper · doi:10.1037/h0030637

openalex publication_date 1971/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22

Abstract

Composition rules are theories that describe the relationships among several measurable variables. Conjoint measurement provides methods for analyzing such rules using ordinal information only. This analysis is applied to a class of four composition rules in three variables [A + P + U, (A + P) U, AP + U, APU~], which have been widely employed in different areas of psychology. It leads to the formulation of observable ordinal properties that can be used to test and diagnose which of the rules, if any, is appropriate for a given set of data.

Citations

• A general theory of polynomial conjoint measurement
• Foundational aspects of theories of measurement
• On the psychophysical law.
• A law of comparative judgment.
• Intransitivity of preferences.
• Attitudes and Cognitive Organization
• Simultaneous conjoint measurement: A new type of fundamental measurement

Cited by

• Plausible measurement analogies to some psychometric models of test performance
• Theory of conjoint measurement [wikipedia]