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首页> 外文期刊>Journal of behavior therapy and experimental psychiatry >Measuring automatic associations: Validation of algorithms for the Implicit Association Test (IAT) in a laboratory setting
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Measuring automatic associations: Validation of algorithms for the Implicit Association Test (IAT) in a laboratory setting

机译:测量自动关联:在实验室环境中验证隐式关联测试(IAT)的算法

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摘要

Background and objectives: In their paper, "Understanding and using the Implicit Association Test: I. An improved scoring algorithm", Greenwald, Nosek, and Banaji (2003) investigated different ways to calculate the IAT-effect. However, up to now, it remained unclear whether these findings based on internet data also generalize to laboratory settings. Therefore, the main goal of the present study was to cross-validate scoring algorithms for the IAT in a laboratory setting, specifically in the domain of psychopathology.
机译:背景和目标:Greenwald,Nosek和Banaji(2003)在他们的论文“理解和使用隐式关联测试:I。改进的评分算法”中研究了计算IAT效果的不同方法。但是,到目前为止,仍不清楚基于互联网数据的这些发现是否也能推广到实验室环境。因此,本研究的主要目标是在实验室环境中,特别是在精神病理学领域,对IAT的评分算法进行交叉验证。

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