Axt Jordan R, Feng Tony Y, Bar-Anan Yoav
Department of Psychology, McGill University, 2001 McGill College Ave, Montreal, Quebec, H3A 1G1, Canada.
Project Implicit, Washington, DC, USA.
Behav Res Methods. 2021 Dec;53(6):2512-2527. doi: 10.3758/s13428-021-01592-8. Epub 2021 May 4.
The Implicit Association Test (IAT) is one of the most popular measures in psychological research. A lack of standardization across IATs has resulted in significant variability among stimuli used by researchers, including the positive and negative words used in evaluative IATs. Does the variability in attribute words in evaluative IATs produce unwanted variability in measurement quality across studies? The present work investigated the effect of evaluative stimuli across three studies using 13 IATs and over 60,000 participants. The 64 positive and negative words that we tested provided similar measurement quality. Further, measurement was satisfactory even in IATs that used only category labels as stimuli. These results suggest that common sense is probably a sufficient method for selection of evaluative stimuli in the IAT. For reasonable measurement quality, we recommend that researchers using evaluative IATs in English select words randomly from the set we tested in the present research.
内隐联想测验（IAT）是心理学研究中最常用的测量方法之一。由于IAT缺乏标准化，研究人员使用的刺激物存在显著差异，包括在评价性IAT中使用的积极和消极词汇。评价性IAT中属性词的差异是否会导致不同研究间测量质量产生不必要的差异？本研究通过三项研究，使用13种IAT和超过60000名参与者，调查了评价性刺激的影响。我们测试的64个积极和消极词汇提供了相似的测量质量。此外，即使在仅使用类别标签作为刺激的IAT中，测量结果也令人满意。这些结果表明，常识可能是IAT中选择评价性刺激的一种充分方法。为了获得合理的测量质量，我们建议使用英语进行评价性IAT的研究人员从我们在本研究中测试的词汇集中随机选择词汇。
