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Description: This project provides scripts and data for performing an effect course analysis. The effect course analysis is a model-free, non-parametric method designed to reveal effect changes within an experimental session on a continuous time scale. The effect course analysis is first validated on an existing data set from Adelman et al. (2014), for which Miller (2023) already described effect changes with practice. In a second step, it is applied to our own data set (for which the effect course analysis was pre-registered, https://osf.io/vek7a) to investigate the time course of task preparation effects on masked semantic priming triggered by task cues. References: Adelman, J. S., Johnson, R. L., McCormick, S. F., McKague, M., Kinoshita, S., Bowers, J. S., Perry, J. R., Lupker, S. J., Forster, K. I., Cortese, M. J., Scaltritti, M., Aschenbrenner, A. J., Coane, J. H., White, L., Yap, M. J., Davis, C., Kim, J., & Davis, C. J. (2014). A behavioral database for masked form priming. Behavior Research Methods, 46(4), 1052–1067. https://doi.org/10.3758/S13428-013-0442-Y/TABLES/8 Miller, J. (2023). How Many Participants? How Many Trials? Maximizing the Power of Reaction Time Studies. Behavior Research Methods, 1–24. https://doi.org/10.3758/S13428-023-02155-9/FIGURES/17