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An integrated approach to biases in referent-specific judgments

机译:特定于特定判断中偏差的综合方法

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Judgments of direct comparisons, probabilities, proportions, and ranks can all be considered referent-specific judgments, for which a good estimate requires a target to be compared against a referent(s). This paper presents a Referent-Specific Judgment Framework (RSJF) to organize and integrate over- and under-estimation biases commonly associated with these judgments. RSJF assumes a dual-process structure in which one key source of bias can arise from spontaneous comparisons whose input-unless offset by a controlled process-can yield an underweighting of evidence about referents. Another key source of bias is the misaggregation of evidence associated with multiple referents. Two studies tested RSJF predictions about similarities and differences in patterns of bias in comparative versus probability judgments. As expected, there was similarity in patterns tied to misweighting and differences in patterns tied to misaggregation. The findings support the utility of RSJF for organizing and advancing the study of referent-specific judgments.
机译:直接比较,概率,比例和排名的判断都可以被视为特定的判断,其中估计很好地需要与指比例进行比较目标。本文介绍了特定于特定于特定的判断框架(RSJF),以组织和整合与这些判断相关的过度和估计估计偏差。 RSJF假设双流程结构,其中可以从自发比较中出现一个偏置的一个关键源,其输入 - 除非受到受控过程的偏移 - 可以产生对引用的有关涉及的证据的超值。另一个关键偏离源是与多个指令相关的证据的误导。两项研究测试了对比较与概率判断的偏差模式的相似性和差异的RSJF预测。正如预期的那样,与错误的模式相关的模式的相似之值和与误导的模式的差异相关。调查结果支持RSJF的效用,用于组织和推进对特定判断的研究。

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