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We will investigate the potential for statistical predictors derived from network science models of the Spanish lexicon to account for significant variance in visual word recognition beyond that associated with two fundamental predictors (Frequency and Length). We will derive predictors from three networks (Semantic, Orthographic and Merged; see ‘Study design’).