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对人类运动学习中误差测量的重新思考。

Reconsideration of measurement of error in human motor learning.

作者信息

Crabtree D A, Antrim L R

机构信息

Department of Health and Nutrition Sciences, University of Cincinnati, OH 45221-0022.

出版信息

Percept Mot Skills. 1988 Oct;67(2):568-70. doi: 10.2466/pms.1988.67.2.568.

DOI:10.2466/pms.1988.67.2.568
PMID:3217208
Abstract

Human motor learning is often measured by error scores. The convention of using mean absolute error, mean constant error, and variable error shows lack of desirable parsimony and interpretability. This paper provides the background of error measurement and states criticisms of conventional methodology. A parsimonious model of error analysis is provided, along with operationalized interpretations and implications for motor learning. Teaching, interpreting, and using error scores in research may be simplified and facilitated with the model.

摘要

人类运动学习通常通过误差分数来衡量。使用平均绝对误差、平均恒定误差和可变误差的惯例显示出缺乏理想的简约性和可解释性。本文提供了误差测量的背景,并阐述了对传统方法的批评。同时提供了一个简约的误差分析模型,以及对运动学习的操作性解释和启示。该模型可能会简化并促进在研究中对误差分数的教学、解释和使用。

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