Tversky's model of similarity-based confusion suggests that such confusion between two stimuli or messages is most accurately predicted by an increase in:
A) the number of shared elements
B) the number of different elements
C) the ratio of different to total features
D) the ratio of shared to total features

Question

Quizplus · Accepted Answer

Tversky's model of similarity-based confusion posits that confusion between two stimuli or messages increases with the ratio of shared to total features. This model emphasizes the importance of shared features in determining similarity, suggesting that the more features two items share in relation to the total number of features, the more similar they are perceived to be, leading to higher confusion.

Tversky's Model of Similarity-Based Confusion Suggests That Such Confusion Between