## Contents ## ---------- The development of the SIMR package in R has made it possible to do power analyses yourself. In addition, there have been interesting developments with respect to the calculation of effect sizes. Therefore, the original paper has been rewritten, now using the Perea et al. (2015) dataset instead of the Huthcison et al. (2013) dataset. The former is a more typical, small-scale word recognition experiment. ### Manuscript ### A manuscript describing the analyses plus some context. ### datasets.xlsx ### Contains three datasets that use masked priming and a Latin square design - adelman with two levels: orhographic priming (related un related) + lexical decision - adelman with three levels: orhographic priming (low, medium, high) + lexical decision - perea: orthographic priming + lexical decision The datasets are self-explanatory. ### analyses.R ### Gives the R codes of the analyses described in the ms ## References ## ---------- Adelman, J. S., Johnson, R. L., McCormick, S. F., McKague, M., Kinoshita, S., Bowers, J. S., . . . others (2014). A behavioral database for masked form priming. *Behavior research methods*, 46(4), 1052–1067. Perea, M., Vergara-Martinez, M., & Gomez, P. (2015). Resolving the locus of case alternation effects in visual word recognition: Evidence from masked priming. Cognition, 142, 39–43.