Acceso usuarios
Evaluative conditioning (EC) is the change of a conditioned stimulus’s evaluation due to its pairing with an unconditioned stimulus (US). While learning typically shows negativity biases, we found no such biases in a reanalysis of meta-analytic EC data. We provide and test a cognitive-ecological answer for this lack of negativity bias. We assume that negativity effects follow from ecological differences in evaluative information’s distributions (i.e., differential frequency). Accordingly, no negativity bias emerges because positive and negative information is equally frequent in most EC experiments. However, if negative (or positive) information is rare, we predict a negativity (positivity) bias. We tested this prediction in five preregistered experiments (three laboratory-based, N = 394, two online, N = 391). As predicted, if negative USs were rare, a negativity bias followed. However, if positive USs were rare, we also observed positivity biases in participants’ conditioned stimulus evaluations. These data support a cognitive-ecological explanation of valence asymmetries and partially explain why EC experiments show no negativity bias: Typical EC designs do not reflect the ecological information structure that contributes to a negativity bias in the first place. (PsycInfo Database Record (c) 2025 APA, all rights reserved)
