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  • 标题:Best Practices for Using Median Splits, Artificial Categorization, and their Continuous Alternatives
  • 本地全文:下载
  • 作者:Jamie DeCoster ; Marcello Gallucci ; Anne-Marie R. Iselin
  • 期刊名称:Journal of Experimental Psychopathology
  • 电子版ISSN:2043-8087
  • 出版年度:2011
  • 卷号:2
  • 期号:2
  • 页码:197-209
  • DOI:10.5127/jep.008310
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:Methodologists have long discussed the costs and benefits of using medians or other cut points to artificially turn continuous variables into categorical variables. The current paper attempts to provide a perspective on this literature that will be of practical use to experimental psychopathologists. After discussing the reasons that clinical researchers might use artificial categorization, we summarize the arguments both for and against this procedure. We then provide a number of specific suggestions related to the use of artificial categorization, including our thoughts on when researchers should use artificial categories, how their use can be justified, what continuous alternatives are available, and how the continuous alternatives should be used.
  • 关键词:median splits; dichotomization; artificial categorization; continuous measures; dimensional measures; threshold; cut points
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