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: pa.dombert@fz-juelich.de
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).