The impact of instruction- and experience-based evaluative learning on IAT performance: a Quad model perspective

Area of Science:

• Psychology
• Cognitive Science
• Social Psychology

Background:

• Evaluative responses are often established through learning procedures like mere exposure and conditioning.
• The Implicit Association Test (IAT) is a common tool for measuring these evaluative responses.
• Existing models do not fully explain the mechanisms behind evaluative learning effects on IAT responses.

Purpose of the Study:

• To disentangle the processes driving IAT responses using the Quad model.
• To compare the impact of instruction-based versus experience-based evaluative learning on IAT responses.
• To investigate how different evaluative learning procedures influence the activation of evaluative information.

Main Methods:

• Utilized the Quad model to analyze IAT data.
• Employed three evaluative learning procedures: mere exposure, evaluative conditioning, and approach/avoidance training.
• Compared participants who underwent learning procedures with a control group receiving only instructions.

Main Results:

• Both instruction-based and experience-based learning procedures influenced the activation of evaluative information in IAT responses.
• Contrary to predictions, experience-based procedures did not influence activation more strongly than instruction-based procedures.
• These findings held true across combined and individual analyses of the three procedures.

Conclusions:

• Evaluative learning effects on IAT responses are significantly mediated by instructional information.
• The impact of experience-based learning may be less influential than previously assumed in implicit evaluation.
• Further research is needed to understand the conditions and processes governing evaluative learning.