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Bruce Buchanan

Researcher at New York University

Publications -  17
Citations -  259

Bruce Buchanan is an academic researcher from New York University. The author has contributed to research in topics: Population & Product testing. The author has an hindex of 8, co-authored 17 publications receiving 247 citations.

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A role-theoretic approach to product symbolism: Mapping a consumption constellation

TL;DR: In this article, a consumption constellation associated with the stereo-typical "yuppie" role is proposed to formalize this discussion and the properties of consumption constellations are mathematically operationalized, and their interrelationships are discussed.
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Comparative Versus Noncomparative Advertising: The Moderating Impact of Prepurchase Attribute Verifiability

TL;DR: The authors employed an attributional framework to test the differences between comparative and non-comparative ads when different attribute types were featured and found that non-comparing ads might be more believable than comparative ads for experience attribute claims; however, for search attribute claims, the 2 might elicit similar levels of believability.
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Measurement of Discrimination Ability in Taste Tests: An Empirical Investigation

TL;DR: In this paper, several tasks have been used to measure subjects' discrimination ability (i.e., their ability to distinguish between two slightly different product formulations) for purposes of product testing.
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A stochastic model of list falloff with implications for repeat mailings

TL;DR: It is shown that list falloff depends only on the dispersion of response probabillities in the population and not on the average response rate, which applies to the question of how many times to mail a given list.
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Assessing the Bias of Preference, Detection, and Identification Measures of Discrimination Ability in Product Design

TL;DR: To the knowledge, this is the first empirical study to compare subject discrimination ability as measured by all three tasks and test two scales of subject confidence ratings and discuss implications for product testing.