Sense Florian, Maaß Sarah, Gluck Kevin, van Rijn Hedderik
Department of Experimental Psychology, University of Groningen, NL.
Behavioral and Cognitive Neurosciences, University of Groningen, NL.
J Cogn. 2019 May 23;2(1):12. doi: 10.5334/joc.65.
In this data report, we describe a three-session experiment spanning six months. Several well-controlled laboratory tasks (Word Learning, Raven Matrices, and Tapping) and Cardiopulmonary Resuscitation (CPR), a complex but well-defined real-world task, were administered. Data are reported from 50 participants for the first session, 40 for the second, and 34 for the third. CPR is a useful domain for studying real-world performance inside the laboratory because clear performance standards can be applied to quantifying learners' proficiency covering both the first steps that need to be taken prior to the initiation of CPR (declarative knowledge) as well as the compressions and ventilations themselves (procedural skill). This research resulted in a rich dataset with a range of different measures for all participants. For all tasks, the complete set of raw data are made available along with relevant aggregate performance scores (see https://osf.io/m8bxe/). The raw data in particular will enable other researchers to explore potential analyses and modeling beyond the scope of our own. The details of the data collection protocol and available data are documented here to facilitate this process.
在本数据报告中,我们描述了一项为期六个月、分三个阶段的实验。我们实施了几项控制良好的实验室任务(单词学习、瑞文推理测验和敲击测试)以及心肺复苏术(CPR),后者是一项复杂但定义明确的现实世界任务。报告了50名参与者第一阶段的数据、40名参与者第二阶段的数据以及34名参与者第三阶段的数据。心肺复苏术是在实验室中研究现实世界表现的一个有用领域,因为可以应用明确的表现标准来量化学习者的熟练程度,这既包括在开始心肺复苏术之前需要采取的第一步(陈述性知识),也包括按压和通气本身(程序性技能)。这项研究产生了一个丰富的数据集,其中包含针对所有参与者的一系列不同测量指标。对于所有任务,完整的原始数据集以及相关的综合表现分数均可获取(见https://osf.io/m8bxe/)。特别是原始数据将使其他研究人员能够探索超出我们自己研究范围的潜在分析和建模方法。这里记录了数据收集协议的详细信息和可用数据,以促进这一过程。