Predicting Preferences on Experimental Bundles of Attributes: A Comparison of Models

Joel C. Huber

57 citations0/0 files storedJournal of Marketing Research

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Economic and Environmental Valuation Psychometric Methodologies and Testing Decision-Making and Behavioral Economics

Abstract

This study tests the ability of various models to predict individual preferences on stimuli defined by physical characteristics. Within all models, metric routines were found to be superior to nonmetric routines. Across models, differences in predictive ability were not found to be great compared to pragmatic or theoretical differences.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 57 citations exist upstream.

References

1973Issues in Marketing's Use of Multi-Attribute Attitude Models 1974A Consumer-Based Methodology for the Identification of New Product Ideas 1958Experimental Designs, Second Edition.1971Using Laboratory Brand Preference Scales to Predict Consumer Brand Purchases 1973Fractional Factorial Experimental Designs in Marketing Research 1973On the Analysis of Interactions in Marketing Research Data 1972Recent Developments in the Design of Factorial Experiments 1967The Analysis of Variance and Pairwise Scaling

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.