Effective Analysis of Reaction Time Data

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Analyzing Reaction Times (2010, background): “Various guidelines have been proposed, almost always in the framework of factorial experiments in which observations are aggregated over subjects and/or items (Ratcliff, 1979; Luce, 1986; Ratcliff, 1993; Whelan, 2008).”
The role of general and number-specific order processing in adults’ arithmetic performance (2017, methodology): “Median reaction times were used because they are less sensitive for a skewed distribution (Whelan, 2008).”
Multisensory Integration in Complete Unawareness (2014, methodology): “A logarithmic transformation was applied on the remaining reaction times in order to reduce deviations from normality that are commonly observed on raw reaction times (Whelan, 2010), so that the data met the normality assumption underlying analyses of variance (ANOVAs) and t tests.”
Witnessing Incivility Among Employees: Effects on Consumer Anger and Negative Inferences About Companies (2010, methodology): “However, these results are not wholly surprising; prior research suggests that ANOVAs often fail to detect differences from reaction time analyses because the data are rarely identically or independently distributed (cf. Whelan 2008).”