类别标签在类别特征推理中的极化效应

发布时间：2018-05-10 09:57

  本文选题：类别特征推理 + 类别标签　； 参考：《心理与行为研究》2017年03期

【摘要】：采用学习 测试二阶段实验范式,对比了类别标签与类别特征在类别特征推理中的极化效应。研究结果表明,在类别标签组,标签匹配项目上的特征推理分数显著高于标签不匹配项目上的特征推理分数;在特征标签组,标签匹配项目上的特征推理分数与标签不匹配项目上的特征推理分数之间差异不显著。类别标签组的失匹配分数显著高于特征标签组。即在类别特征推理任务中,类别标签的极化效应显著高于类别特征的极化效应,因此,类别标签与类别特征存在本质差异,类别标签在类别特征推理中起主导作用。而且,本研究还发现,高前提概率条件下的特征推理分数都显著高于低前提概率条件下的特征推理分数,所以,前提概率也影响类别特征推理任务。
[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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本文编号：1868850