Sensitivity of implicit evaluations to accurate and erroneous propositional inferences

Area of Science:

• Cognitive Psychology
• Logic and Reasoning
• Social Cognition

Background:

• Explicit evaluations are known to be sensitive to logical structure.
• A theoretical debate exists on whether implicit evaluations are solely driven by co-occurrence or also by logical structure.

Purpose of the Study:

• To investigate if implicit evaluations are sensitive to logical structure.
• To differentiate the roles of co-occurrence information and logical structure in shaping evaluations.
• To examine the interplay between explicit and implicit evaluation processes.

Main Methods:

• A large-scale study (N=3928) with a two-step learning phase involving conditional statements (A → B) and novel targets.
• Manipulation of co-occurrence information and disambiguating stimuli to test unique and joint effects.
• Utilized explicit self-reports, Implicit Association Test (IAT), and Affect Misattribution Procedure (AMP) for evaluation measurement.
• Employed Bayesian modeling to analyze the sensitivity of evaluations to inferred truth values.

Main Results:

• Both explicit and implicit evaluations demonstrated sensitivity to the logical structure of presented information.
• Participants sometimes made logical errors, such as affirming the consequent or denying the antecedent.
• Bayesian modeling confirmed that both IAT and AMP measures reflected the inferred truth values, whether accurate or erroneous.

Conclusions:

• Implicit evaluations, similar to explicit evaluations, can be influenced by logical structure.
• The findings challenge the notion that implicit evaluations are exclusively driven by simple co-occurrence.
• This research provides evidence for the integration of logical reasoning in implicit evaluative processes.