Constructing Joint Spaces from Pick-Any Data: A New Tool for Consumer Analysis

Morris B. Holbrook · William L. Moore · Russell S. Winer

67 citations0/0 files storedJournal of Consumer 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

Psychometric Methodologies and Testing Statistical Methods and Applications Economic and Environmental Valuation

Abstract

The recently developed “pick-any” approach to data collection and analysis is described and illustrated by examples that support its face validity, reliability, and convergent validity with other multidimensional scaling techniques. Some solutions to problems that arise in applying the pick-any procedure are suggested, and potential extensions are proposed for use of the procedure in perceptual mapping applications.

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 — 67 citations exist upstream.

References

1971The Theory of Buyer Behavior 1960A theory of data.1972Individual differences and multidimensional scaling 1971Market Segmentation: A Strategic Management Tool 1979Testing Thirteen Attitude Scales for Agreement and Brand Discrimination 1979Joint-Space Analysis of “pick-any” Data: Analysis of Choices from an Unconstrained Set of Alternatives 1972Judged Similarity and Brand-Switching Data as Similarity Measures 1978Impact of Different Comparison Sets on Evaluation of a New Subcompact Car Brand

Cited by

1990Multiple Correspondence Analysis of Multiple Choice Experiment Data 1986Simple and Weighted Unfolding Threshold Models for the Spatial Representation of Binary Choice Data 1987Constructing MDS Joint Spaces from Binary Choice Data: A Multidimensional Unfolding Threshold Model for Marketing Research 1991Improvements in Means-End Chain Analysis Using Graph Theory and Correspondence Analysis 1991Constrained Latent Class Analysis: Simultaneous Classification and Scaling of Discrete Choice Data

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.