Related Experiment Video
Updated: Jun 13, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
Attribute commensurability and context effects in preferential choice
William M Hayes1, William R Holmes2, Jennifer S Trueblood3
1Department of Psychology, Binghamton University, State University of New York, PO Box 6000, Binghamton, NY, 13902, USA. whayes2@binghamton.edu.
Abstract:
Context effects in multi-alternative, multi-attribute choice are widely documented, but often elusive. We show that this elusiveness can arise in part from the way that choices are presented. To illustrate this, we use a modeling framework to predict how changes to the format of attribute values, specifically the commensurability of attribute values, influences attention allocation and consequently context effects. Guided by this framework, we show in two online choice experiments (total N = 954 adults) that manipulating the commensurability of attributes leads to different patterns of context effects. Robust attraction and compromise effects are found when attributes are incommensurable (e.g., CPU speed in GHz and RAM memory in GB, or quality ratings on different scales), and mostly null effects occur when attributes are commensurable (e.g., quality ratings on the same scale). Our findings show how the format of choice information can substantially alter the integration of that information and resulting choice patterns.
More Related Videos
08:24The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
07:34Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
Related Concept Videos
Social Proof
Cause and Effect
Framing Effects
Factors Affecting Perception
An illustrative example of a perceptual set is the scenario where an airline pilot told...
Fundamental Attribution Error
The Anchoring-and-Adjustment Heuristic