Nosek, Bar-Anan, Sriram & Greenwald (2012): Understanding and Using the Brief Implicit Association Test: I. Recommended Scoring Procedures

Sriram and Greenwald (2009) introduced a Brief version of the Implicit Association Test (BIAT). The present research identified analytical best practices for overall psychometric performance of the BIAT. In 7 studies and multiple replications, we investigated analytic practices with several evaluation criteria: sensitivity to detecting known effects and group differences, internal consistency, relations with implicit measures of the same topic, relations with explicit measures of the same topic and other criterion variables, and resistance to an extraneous influence of average response time. Two data transformation algorithms, G and D, outperformed other approaches. We conclude with recommended analytic practices for standard use of the BIAT.斯里拉姆与格林沃尔德（2009）提出了内隐联想测验（Implicit Association Test, IAT）的简版（BIAT）。本研究针对BIAT的整体心理测量学表现确立了分析最佳实践方案。在7项研究与多次重复实验中，我们基于多项评估指标对分析流程展开了探究：对已知效应与组间差异的检测灵敏度、内部一致性、与同一主题内隐测量指标的关联、与同一主题外显测量指标及其他效标变量的关联，以及对平均反应时间无关干扰的抵御能力。两种数据转换算法G与D的表现优于其他方法。最后，本研究为BIAT的标准化应用提出了推荐分析实践方案。