Dissociating Automatic Associations: Comparing Two Implicit Measurements of Race Bias.
Dissociating Automatic Associations: Comparing Two Implicit Measurements of Race Bias.
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DOI：
10.1002/ejsp.2655
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发表时间：
2020-06
影响因子：
3.9
通讯作者：
Bartholow BD
中科院分区：
文献类型：
--
作者：
Volpert-Esmond HI;Scherer LD;Bartholow BD
不同的内隐偏见任务之间的弱对应可能源于独特形式的自动和控制过程对反应行为的贡献。在这里，我们研究了自动和控制处理的估计来自两个连续的启动任务相同的结构和时间分别测量刻板（武器识别任务; WIT）和评价（情感启动任务; APT）协会之间的对应关系。在两项主要使用白色样本的研究中，数据中出现了三种一致的模式：（1）黑人目标的刻板偏见更强，而白色目标的评估偏见更强;（2）总体反应准确性偏差在两项任务中适度相关;（3）控制处理的多项式处理树估计比自动处理的估计更强。这些发现支持了为不同形式的种族偏见设定不同的学习和记忆系统的模型，并表明这些不同的形式有助于自动联想的估计。
Weak correspondence across different implicit bias tasks may arise from the contribution of unique forms of automatic and controlled processes to response behavior. Here, we examined the correspondence between estimates of automatic and controlled processing derived from two sequential priming tasks with identical structure and timing designed to separately measure stereotypic (Weapons Identification Task; WIT) and evaluative (Affective Priming Task; APT) associations. Across two studies using predominantly White samples, three consistent patterns emerged in the data: (1) stereotypic bias was stronger for Black targets, whereas evaluative bias was stronger for White targets; (2) overall response accuracy bias correlated modestly across the two tasks; and (3) multinomial processing tree estimates of controlled processing corresponded much more strongly than estimates of automatic processing. These findings support models positing distinct learning and memory systems for different forms of race bias, and suggest that these differing forms contribute to estimates of automatic associations.