A Feature-Salience Analogue of the Inverse Base-rate Effect

• 영문명: A Feature-Salience Analogue of the Inverse Base-rate Effect
• 발행기관: 대한사고개발학회
• 저자명: Corey J. Bohil Arthur B. Markman W. Todd Maddox
• 간행물 정보: 『The International Journal of Creativity & Problem Solving』제15권 제1호, 17~28쪽, 전체 12쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2005.04.30

영문 초록

Classification learning requires integrating many properties of the items being learned including the base-rate probability that a category will occur as well as the salience of features. Previous research has demonstrated an inverse base-rate effect, in which people classify an item that has features predictive of both a high base-rate and low base-rate category into the rarer category. We suggest that this finding reflects that feature salience plays a greater role in classification than does base-rates. We tested this hypothesis by demonstrating that manipulations of feature salience determine the classification of ambiguous stimuli regardless of the underlying base-rates of the categories.

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키워드

Inverse base rate effect Feature salience Attention shifting Attentional theory Learning Cues