Beyond Curve Fitting to Inferences about Learning

Yeou-Teh Liu, Gottfried Mayer-Kress, Karl M. Newell*

*此作品的通信作者

研究成果: 雜誌貢獻回顧評介論文同行評審

7 引文 斯高帕斯(Scopus)

摘要

In this commentary, the authors elaborate on the issue of going beyond curve fitting to the drawing of inferences about motor learning. They argue that the agenda of A. Heathcote and S. Brown (2004) is largely a theory-free, curve-fitting enterprise that can be useful for certain aspects of describing behavior change, but that its gold standard of percentage of variance accounted for can also be misleading in its relevance to the theory of learning. Clearly, analysis methods are necessary and some are better than others, but the researcher can more fully exploit the relevance of methods to the construct with a priori theorizing than with a data-driven strategy of maximizing percentage of variance accounted for in curve fitting.

原文英語
頁(從 - 到)233-238
頁數6
期刊Journal of Motor Behavior
36
發行號2
DOIs
出版狀態已發佈 - 2004 六月 1

ASJC Scopus subject areas

  • 生物物理學
  • 骨科和運動醫學
  • 實驗與認知心理學
  • 認知神經科學

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