The anchor integration model: A descriptive model of anchoring effects.

Area of Science:

• Psychology
• Cognitive Science
• Behavioral Economics

Background:

• The anchoring effect is a well-studied phenomenon in judgment and decision-making.
• Existing theories provide qualitative insights but lack quantitative predictive power for specific anchoring effects.
• There is a need for a model that can measure and quantify anchoring effects.

Purpose of the Study:

• Introduce the Anchor Integration Model (AIM) as a novel descriptive tool.
• Develop two versions of AIM: one for between-participant effects and one for individual differences.
• Demonstrate the utility of AIM in quantifying anchoring effects.

Main Methods:

• Developed two versions of the Anchor Integration Model (AIM).
• Applied each AIM version to data from two experimental studies.
• Utilized quantitative methods to fit the models and assess their descriptive capabilities.

Main Results:

• Successfully fitted both versions of the AIM to experimental data.
• Demonstrated AIM's effectiveness in describing and quantifying anchoring effects.
• Showcased the model's utility in interpreting specific anchoring phenomena.

Conclusions:

• The Anchor Integration Model (AIM) provides a valuable quantitative framework for studying the anchoring effect.
• AIM advances the understanding of judgment and decision-making by offering precise predictions.
• The model has implications for both general psychological research and the study of individual differences.