2015
DOI: 10.2139/ssrn.2663427
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Toward a More Nuanced Understanding of the Statistical Properties of a Median Split

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Cited by 64 publications
(85 citation statements)
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“…The medians were obtained from participants’ average power and average asymmetry calculated across the three isokinetic test velocities. The authors recognize that the sample size is marginal for this analysis and using the median to dichotomize participants may reduce effect sizes and statistical power, and increase the risk for Type II error (Cohen 1983, Iacobucci, Posavac et al 2015), hence we consider this analysis exploratory. Because groups differed by gender and mass these variables were then tested as covariates.…”
Section: Methodsmentioning
confidence: 99%
“…The medians were obtained from participants’ average power and average asymmetry calculated across the three isokinetic test velocities. The authors recognize that the sample size is marginal for this analysis and using the median to dichotomize participants may reduce effect sizes and statistical power, and increase the risk for Type II error (Cohen 1983, Iacobucci, Posavac et al 2015), hence we consider this analysis exploratory. Because groups differed by gender and mass these variables were then tested as covariates.…”
Section: Methodsmentioning
confidence: 99%
“…This problem was realized by a number of researchers in the consumer psychology and the broader psychology community and a number of articles on this issue were written. For a recent dialogue on when to dichotomize variables, see Pham (2015); Iacobucci, Posovac, Kardes, Schneider, and Popovich (2015a, 2015b); Rucker, McShane, and Preacher (2015); McClelland, Lynch, Irwin, Spiller, and Fitzsimons (2015). Early discussions on the subject were provided by Jaccard, Turrisi, and Wan (1990); Aiken and West (1991); and Cohen (1983), and followed up by Irwin and McClelland (2001, 2003) and MacCallum, Zhang, Preacher, and Rucker (2002).…”
Section: Understanding Spotlight Analysis: Highlighting Common Confusionmentioning
confidence: 99%
“…To investigate individual differences in learning, we performed a median split and subdivided participants in each of the 2 age groups into high and low performing groups (for similar analyses with performance-based groupings see Chowdhury et al, 2013;Nagel et al, 2009). Although the use of median split analyses has been discouraged previously because of loss of power and information as well as the potential increase in type 1 errors (MacCallum et al, 2002), findings from recent simulation studies suggest these issues are only of concerns in situations in which multiple correlated predictor variables are used (Iacobucci et al, 2014), which is not the case in the present study. Furthermore, studies that criticized the use of median splits (see MacCallum et al, 2002) also acknowledged that 1 area where these procedures are potentially useful is in situations in which performance is a potential moderator of other relationships (e.g., brain-behavior relationships).…”
Section: Behavioral Data Analysismentioning
confidence: 99%