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ABSTRACT This paper is a tutorial on axiomatic conjoint measurement. It summarizes recent developments, illustrates the use of these developments in investigating ordinal data relations, relates axiomatic and numerical scaling procedures, describes previous applications of conjoint measurement, and suggests future applications in the decision sciences. Emphasis is placed on the contributions axiomatic conjoint measurement could make to the analyses of ordinal data structures.
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Stored only when both papers are in the corpus — 28 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.