Supplementary Material Journal name: Experimental Brain Research Article title: The impact of probabilistic feature cueing depends on the level of cue abstraction Authors: Pascasie L. Dombert, Gereon R. Fink, Simone Vossel Corresponding author: Pascasie Dombert Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Germany email: [email protected] Supplementary Results: Response time results based on the central tendency measure derived from fitting ex-Gauss distributions to single-subject RT data Analyzing validity effects on the basis of the means of the ex-Gauss distribution revealed the same pattern of results as the analysis based on median RTs: the repeated measures ANOVA with the factors %CV (%CV: 50,70,90) and feature cue revealed a significant main effect of %CV and an interaction effect between %CV × feature cue (main effect %CV: F1,57=4.58, p<.05; interaction effect %CV × feature cue: F2,57=3.81, p<.05, See Fig. S1). Fig. S1 Response time results based on the central tendency measure derived from fitting exGauss distributions to RT data Illustration of the mean validity effects as derived from the means of the ex-Gauss function (response time (RT) invalid minus RT valid) for the three %CV levels (across the whole experiment) separately for each feature cue. Darker bars represent more abstract and lighter bars less abstract processing. Mean validity effects and standard errors of the mean are reported in milliseconds (ms).