Brysbaert, M. , Keuleers, E. & Diependaele, K.
Ghent University, Ghent, Belgium
We have collected a new database of lexical decision times for English words and non-words, in which two groups of British participants each responded to 14,365 monosyllabic and disyllabic words and the same number of non-words for a total duration of 16 hours (divided over multiple sessions). This database, called the British Lexicon Project (BLP), fills an important gap between the Dutch Lexicon Project (DLP) and the English Lexicon Project (ELP), because it applies the repeated measures design of DLP to the English language. The high correlation between the BLP and ELP data indicates that a high percentage of variance in lexical decision datasets is systematic variance rather than noise, and that the results of word recognition megastudies are rather robust with respect to the selection and presentation of the stimuli. Because of its design, BLP makes the same analyses possible as DLP, offering researchers with a new interesting dataset of word processing times for mixed effects analyses and mathematical modeling. In this talk we present the outcome of the first analyses we made.