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Conjoint Analysis/Evidence
Method evidence record

Conjoint Analysis

Conjoint analysis is a preference-measurement technique that decomposes overall product evaluations into the separate utility values — called part-worths — that respondents assign to each attribute level. Formalised by Green and Srinivasan in their seminal 1978 Journal of Consumer Research paper, the method has become the dominant tool in marketing research and product design for quantifying what buyers truly trade off when they choose between options.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Conjoint Analysis (Choice-Based and Adaptive Variants)
Taxonomic method record · hypothesis-test / experimental-design
  • Green, P.E. & Srinivasan, V. (1978). Conjoint analysis in consumer research: Issues and outlook. Journal of Consumer Research, 5(2), 103–123. · DOI 10.1086/208721
  • Orme, B.K. (2020). Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research (3rd ed.). Research Publishers. · URL
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

See alsoDiscrete Choice Simulationmachine-suggested · Relational suggestion, not evidence.Same method familyFractional Factorial Designmachine-suggested · Relational suggestion, not evidence.Same method familyFull Factorial Designmachine-suggested · Relational suggestion, not evidence.See alsoMultinomial Logitmachine-suggested · Relational suggestion, not evidence.Same method familyRandomized Controlled Trialmachine-suggested · Relational suggestion, not evidence.Same method familyResponse Surface Methodologymachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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