:

Justin D Kracht1, Niels G Waller1

  • 1Department of Psychology, University of Minnesota, Minneapolis, MN, USA.

PubMed
概括

一种新的多目标塔克,库普曼和林 (TKL) 方法可以更准确地生成模型错误数据. 这种改进的模拟工具可以帮助研究人员创建具有特定模型合适指数目标的错误扰乱相关性矩阵.

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