Further Resources

Thank you so much to the Teaching, Training and Open Science Committee at ManyBabies for supporting the creation of this workshop! I take full responsibility for all mistakes. I have taken inspiration from the following resources and would recommend them for everyone who is interested in this topic:

• Workshop on Bayesian modelling and priors.

• DeBruine, L. M., & Barr, D. J. (2021). Understanding mixed-effects models through data simulation. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920965119.

• Koch, T., Pargent, F., Kleine, A. K., Lermer, E., & Gaube, S. (2023). A Tutorial on Tailored Simulation-Based Power Analysis for Experimental Designs with Generalized Linear Mixed Models. PsyArxiv: https://osf.io/preprints/psyarxiv/rpjem/.

• Lakens, D., & Caldwell, A. R. (2021). Simulation-based power analysis for factorial analysis of variance designs. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920951503.

• RPsychologist Website to explore meaning of effect sizes.

• Mani, N., Schreiner, M. S., Brase, J., Köhler, K., Strassen, K., Postin, D., & Schultze, T. (2021). Sequential Bayes Factor designs in developmental research: studies on early word learning. Developmental Science, e13097.

• Zhang, Z. (2014). Monte Carlo based statistical power analysis for mediation models: Methods and software. Behavior research methods, 46, 1184-1198.