The influence of emotion on lexical processing: insights from RT distributional analysis

In two lexical decision experiments, the present study was designed to examine emotional valence effects on visual lexical decision (standard and go/no-go) performance, using traditional analyses of means and distributional analyses of response times. Consistent with an earlier study by Kousta, Vinson, and Vigliocco (Cognition 112:473-481, 2009), we found that emotional words (both negative and positive) were responded to faster than neutral words. Finer-grained distributional analyses further revealed that the facilitation afforded by valence was reflected by a combination of distributional shifting and an increase in the slow tail of the distribution. This suggests that emotional valence effects in lexical decision are unlikely to be entirely mediated by early, preconscious processes, which are associated with pure distributional shifting. Instead, our results suggest a dissociation between early preconscious processes and a later, more task-specific effect that is driven by feedback from semantically rich representations.