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

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

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.

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

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