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  • 标题:Within-Subject Performance on a Real-Life, Complex Task and Traditional Lab Experiments: Measures of Word Learning, Raven Matrices, Tapping, and CPR
  • 本地全文:下载
  • 作者:Florian Sense ; Sarah Maaß ; Kevin Gluck
  • 期刊名称:Journal of Cognition
  • 电子版ISSN:2514-4820
  • 出版年度:2019
  • 卷号:2
  • 期号:1
  • 页码:12-21
  • DOI:10.5334/joc.65
  • 出版社:Ubiquity Press Ltd.
  • 摘要: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.
  • 关键词:Long-term memory;Executive functions;Learning;Memory;CPR
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