一个标准化的框架来测试基于事件的实验
Alex Lepauvre1,2, Rony Hirschhorn3, Katarina Bendtz4
1Neural Circuits, Consciousness and Cognition Research Group, Max Planck Institute of Empirical Aesthetics, Frankfurt am Main, Germany. alex.lepauvre@ae.mpg.de.
Behavior research methods
|September 16, 2024
概括
研究人员经常忽视测试实验设置,影响研究可重复性. 这项工作引入了一个框架和协议,以标准化设置测试,提高科学严谨性和跨实验室的数据集成.
科学领域:
- 实验心理学和神经科学 实验心理学和神经科学
- 神经成像技术 (EEG,MEG,fMRI,iEEG) 是一种神经成像技术.
背景情况:
- 复制危机突出了科学实践中的问题,重点是预先注册和注册报告.
- 实验设置性能的系统测试和报告仍然是未经探索的领域.
- 实验设置中的不准确性可能导致复制失败,并阻碍交叉研究结果的整合.
研究的目的:
- 描述一个测试和报告实验设置性能的框架.
- 调查当前的实践和社区标准,用于研究人员之间的实验设置测试.
- 开发一个标准化的开源协议,用于测试与视觉事件相关的实验.
主要方法:
- 对100名研究人员进行了关于测试实验设置当前实践的调查.
- 开发一个测试和报告设置性能框架.
- 创建一个标准化的开源协议,用于测试与视觉事件相关的实验.
主要成果:
- 大多数被调查的研究人员报告测试了他们的实验设置,但几乎没有人发表这些测试或他们的结果.
- 模拟表明,微小的设置不准确性可以显著影响研究结果.
- 目前正在使用一系列针对不同设置方面的测试.
结论:
- 实验设置的标准化测试和报告对于提高研究质量至关重要.
- 开发的协议为复制提供了一个基准,提高了可复制性,并使多中心研究集成成为可能.
- 解决设置性能对于稳固的科学发现和加速研究进展至关重要.
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