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文章基本信息

  • 标题:Statistical and Mathematical Modeling versus NHST? There’s No Competition!
  • 本地全文:下载
  • 作者:Rodgers, Joseph Lee
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2010
  • 卷号:9
  • 期号:2
  • 页码:3
  • 出版社:Wayne State University
  • 摘要:Some of Robinson & Levin’s critique of Rodgers (2010) is cogent, helpful, and insightful – although limiting. Recent methodology has advanced through the development of structural equation modeling, multi-level modeling, missing data methods, hierarchical linear modeling, categorical data analysis, as well as the development of many dedicated and specific behavioral models. These methodological approaches are based on a revised epistemological system, and have emerged naturally, without the need for task forces, or even much self-conscious discussion. The original goal was neither to develop nor promote a modeling revolution. That has occurred; I documented its development and its status. Two organizing principles are presented that show how both perspectives can be reconciled and accommodated. A program of research that could not have occurred within the standard NHST epistemology, without a modeling perspective, is discussed. An historical and cross-disciplinary analogy suggests their view is similar to Galileo’s world view, whereas some branches of social and behavioral science may be ready for something closer to a Newtonian perspective.
  • 关键词:NHST (or Null Hypothesis Significance Testing); Modeling; Mathematical ModelsD
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