“…Analyses on the RT distributions provide more constraining information on the nature of the effects under scrutiny than the analyses on the mean RTs (Ratcliff, Gomez, & McKoon, 2004; see also Gomez, Perea, & Ratcliff, 2013;Perea, Abu Mallouh, & Carreiras, 2013;Perea, Vergara-Martínez, & Gomez, 2015). First, an effect that only affects the early encoding (non-decisional) components of visual word recognition should produce changes in the mean RTs and are reflected as a shift of the RT distributions (i.e., similar magnitude of the effect across quantiles; e.g., identity vs. unrelated condition in masked priming; see Gomez et al, 2013;Perea, Vergara-Martínez, & Gomez, 2015; inter-letter spacing; Perea & Gomez, 2012;rotated words: Gomez & Perea, 2014). Second, an effect that affects the "quality of information" in a decision stage of the lexical decision task should produce not only changes in the mean RTs but also changes in the shape of the RT distributions (i.e., a greater magnitude of the effect in the higher quantiles than at the leading edge of the RT distribution) and more errors in the slower condition (e.g., the word-frequency effect; see Ratcliff et al, 2004).…”