Averaging processes in ratings and choices based on numerical information.

Area of Science:

• Consumer Psychology
• Decision Making
• Information Integration

Background:

• Consumers often evaluate product or service options based on presented information.
• Understanding how individuals process and integrate numerical data is crucial for marketing and behavioral economics.

Purpose of the Study:

• To investigate how consumers integrate numerical price information when evaluating shopping options.
• To determine if information integration follows an additive or averaging model.
• To examine the effect of information quantity and neutrality on consumer preferences.

Main Methods:

• Participants rated the desirability of grocery stores based on provided sample price information.
• Paired-comparison preference choices were collected.
• Experiments manipulated the favorability (positive/negative) and neutrality of information sets.
• Information set size was varied in a second experiment.

Main Results:

• The addition of neutral information decreased the extremity of consumer responses, supporting an averaging model over an additive one.
• An increase in the amount of favorable or unfavorable information led to more extreme responses.
• Results suggest an initial neutral expectancy is averaged with presented information.

Conclusions:

• Consumer preference formation for shopping options is influenced by information integration processes.
• An averaging model best explains how consumers process numerical price information, incorporating neutral data and initial expectations.
• The quantity of evaluative information significantly impacts the extremity of consumer judgments.