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To explain or not: How process explanations impact assessments of predictors.
Journal of Experimental Psychology: Applied ( IF 2.813 ) Pub Date : 2019-06-06 , DOI: 10.1037/xap0000233
Daniel Villanova 1 , Elise Chandon Ince 2 , Rajesh Bagchi 3
Affiliation  

When presenting their predictions, predictors may also provide varying levels of information regarding how they arrived at their predictions. However, it is unclear what role these explanations play in the resulting evaluations of the predictors. In 3 experiments, the authors demonstrate that when a predictor provides a brief explanation, individuals evaluate the predictor less positively than when a predictor simply provides no explanation or provides a detailed explanation for their prediction. This happens because a brief explanation lacks details, from which individuals infer the predictor did not do an in-depth analysis, and judge the predictor accordingly. Without an explanation (with detailed explanation), individuals assume (infer) predictors arrive at their predictions via sufficient in-depth analysis. The authors conclude with a discussion of implications for theory and predictors as well as future directions for research. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

中文翻译:

解释或不解释:过程解释如何影响预测变量的评估。

在介绍其预测时,预测器还可以提供有关其如何达到其预测的不同级别的信息。但是,尚不清楚这些解释在预测结果的评估中起什么作用。在3个实验中,作者证明,当预测变量提供简要说明时,与对预测变量简单地不提供任何解释或提供详细说明的情况相比,个人对预测变量的评价不那么积极。发生这种情况是因为简短的解释缺乏细节,个人无法从中推断出预测变量而没有进行深入分析,因此无法对预测变量进行判断。如果没有解释(带有详细解释),则个人会假设(推断)预测变量是通过充分的深入分析得出的。作者最后讨论了对理论和预测因素的含义以及未来的研究方向。(PsycINFO数据库记录(c)2020 APA,保留所有权利)。
更新日期:2019-11-01
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