Implicit self-evaluation bivalence: Measurement and computation

A growing body of evidence supports the coexistence of positive and negative implicit self-evaluations, a phenomenon termed implicit self-evaluation bivalence. Despite this conceptual advancement, the field lacks established measurement approaches and computational methods for assessing this construct. This study (N = 150) employed a revised evaluative priming task to assess this construct, computing implicit self-evaluation bivalence using squared Euclidean distance and validating against mental health indicators. Results demonstrated that (1) implicit self-evaluation bivalence persisted in the revised paradigm, and (2) higher implicit self-evaluation bivalence correlated with greater mental health, suggesting that the squared Euclidean distance is a valid formula for calculating implicit self-evaluation bivalence. These findings provide empirical confirmation of implicit self-evaluation bivalence while offering researchers a practical methodological framework for investigating connections between self-perception patterns and health outcomes.