The median split: Robust, refined, and revived

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• 作者：Dawn Iacobucci^a ; ^{Dawn.Iacobucci@owen.vanderbilt.edu" class="auth_mail" title="E-mail the corresponding author} ; Steven S. Posavac^a ; ^{Steve.Posavac@owen.vanderbilt.edu" class="auth_mail" title="E-mail the corresponding author} ; Frank R. Kardes^b ; ^{Frank.Kardes@uc.edu" class="auth_mail" title="E-mail the corresponding author} ; Matthew J. Schneider^c ; ^{mattschneids@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Deidre L. Popovich^d ; ^{Deidre.Popovich@ttu.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Median split ; Median-split ; Dichotomization ; Categorization
• 刊名：Journal of Consumer Psychology
• 出版年：2015
• 出版时间：October 2015
• 年：2015
• 卷：25
• 期：4
• 页码：690-704
• 全文大小：413 K

文摘

In this rebuttal, we discuss the comments of Rucker, McShane, and Preacher (2015) and McClelland, Lynch, Irwin, Spiller, and Fitzsimons (2015). Both commentaries raise interesting points, and although both teams clearly put a lot of work into their papers, the bottom line is this: our research sets the record straight that median splits are perfectly acceptable to use when independent variables are uncorrelated. The commentaries do a good job of furthering the discussion to help readers better develop their own preferences, which was the purpose of our paper. In the final analysis, neither of the commentaries pose any threat to our findings of the statistical robustness and valid use of median splits, and accordingly we can reassure researchers (and reviewers and journal editors) that they can be confident that when independent variables are uncorrelated, it is totally acceptable to conduct median split analyses.