The category size effect explained by the feature comparison model in terms of:
A)Stage 1 processing
B)Stage 2 processing
C)Stage 3 processing
D)none of the above; it is not predicted by the model.

Question

Quizplus · Accepted Answer

The feature comparison model predicts that the category size effect is due to Stage 2 processing, where there is a comparison between the target and the standard or prototype for each category. As the category size increases, this comparison becomes more difficult, leading to longer response times and more errors.

The Category Size Effect Explained by the Feature Comparison Model