Two-By-Two: Categorical Thinking About Continuous Bivariate Data
We argue that people often evaluate continuous bivariate data as if it were categorical. They mentally dichotomize X and Y to form a 2x2 matrix, leading to predictable biases in judgments. These biases can be exacerbated or attenuated with simple changes to how the data are coded and presented.
Citation:
Bart de Langhe, Philip M. Fernbach, and Julie Schiro (2018) ,"Two-By-Two: Categorical Thinking About Continuous Bivariate Data", in NA - Advances in Consumer Research Volume 46, eds. Andrew Gershoff, Robert Kozinets, and Tiffany White, Duluth, MN : Association for Consumer Research, Pages: 670-670.
Authors
Bart de Langhe, ESADE Business School, Spain
Philip M. Fernbach, University of Colorado, USA
Julie Schiro, University College Dublin
Volume
NA - Advances in Consumer Research Volume 46 | 2018
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