计量经济学
心理学
确认偏差
工作(物理)
计算机科学
社会心理学
统计
认知心理学
数学
工程类
机械工程
作者
Jonathan B. Freeman,Kerri L. Johnson,Steven J. Stroessner
标识
DOI:10.1017/s0140525x2100073x
摘要
Abstract Cesario claims that all bias research tells us is that people “end up using the information they have come to learn as being probabilistically accurate in their daily lives” (sect. 5, para. 4). We expose Cesario's flawed assumptions about the relationship between accuracy and bias. Through statistical simulations and empirical work, we show that even probabilistically accurate responses are regularly accompanied by bias.
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