Supporting data for "Understanding Sleep’s Impact on Attitude Change: Insights from Evaluative Conditioning and Counter-Stereotype Learning"

Using the wake/sleep manipulation, we investigate the impact of sleep on evaluative learning and counter-bias training. In the evaluative learning experiment, participants completed a judgement task and a memory task for two times in a 12-hour interval. Their judgement responses were fitted to the RCB model by Heycke and Gawronki (2020). Their memory recall were scored into five types to separate the memory difference of individual information and integrated information. In three studies focusing on counter-bias training, participants completed gender-STEM implicit association test at pre-training, post-training and 12-hour delay sessions. Their D scores were calculated to compare the effect of group and time. We also fit the data to Quad model by Conrey et al. (2005) to examine the underlying mental processes of bias reduction.

通过运用觉醒与睡眠的操控手段，本研究旨在探讨睡眠对评估学习和反偏见训练的影响。在评估学习实验中，参与者于12小时的时间间隔内完成了两次判断任务和记忆任务。他们的判断反应通过Heycke与Gawronki（2020年）提出的RCB模型进行拟合。而他们的记忆回忆则被划分为五种类型，以区分个体信息和整合信息之间的记忆差异。在聚焦于反偏见训练的三个研究中，参与者在训练前、训练后以及12小时延迟的会话中完成了性别STEM隐性联想测试。他们的D分数被计算出来，用以比较群体和时间效应。此外，我们还对数据进行拟合，以Conrey等（2005年）提出的Quad模型来检验偏见减少背后的心理过程。