本文選題：類別特征推理 + 類別標簽�。� 參考：《心理與行為研究》2017年03期

【摘要】：采用學習 測試二階段實驗范式,對比了類別標簽與類別特征在類別特征推理中的極化效應。研究結果表明,在類別標簽組,標簽匹配項目上的特征推理分數(shù)顯著高于標簽不匹配項目上的特征推理分數(shù);在特征標簽組,標簽匹配項目上的特征推理分數(shù)與標簽不匹配項目上的特征推理分數(shù)之間差異不顯著。類別標簽組的失匹配分數(shù)顯著高于特征標簽組。即在類別特征推理任務中,類別標簽的極化效應顯著高于類別特征的極化效應,因此,類別標簽與類別特征存在本質差異,類別標簽在類別特征推理中起主導作用。而且,本研究還發(fā)現(xiàn),高前提概率條件下的特征推理分數(shù)都顯著高于低前提概率條件下的特征推理分數(shù),所以,前提概率也影響類別特征推理任務。
[Abstract]:In this paper, the polarity effect of category label and category feature in category feature reasoning is compared by using the two-stage experimental paradigm of learning test. The results showed that the score of feature reasoning on label matching items was significantly higher than that on label mismatch items in category label group, and in feature label group, the score of feature reasoning on label matching item was significantly higher than that on label mismatch item. There is no significant difference between feature inference scores on label matching items and feature inference scores on label mismatch items. The mismatch score of category label group was significantly higher than that of feature label group. That is, in the task of category feature reasoning, the polarization effect of category label is significantly higher than that of category feature. Therefore, there are essential differences between category label and category feature, and category label plays a leading role in category feature reasoning. Furthermore, it is also found that the scores of feature reasoning under the condition of high presupposition probability are significantly higher than those under the condition of low premise probability, so the presupposition probability also affects the task of category feature reasoning.
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本文編號：1868850