3.14: Key Takeaways and References
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Cousineau, D. (2005). Confidence intervals in within-subjects designs: A simpler solution to Loftus and Masson’s method. Tutorials in Quantitative Methods for Psychology , 1 , 42–45.
Cramer, A. O. J., van Ravenzwaaij, D., Matzke, D., Steingroever, H., Wetzels, R., Grasman, R. P. P. P., Waldorp, L. J., & Wagenmakers, E.-J. (2015). Hidden multiplicity in exploratory multiway ANOVA: Prevalence and remedies. Psychonomic Bulletin & Review , 23 , 640–647.
Farrens, J. L., Simmons, A. M., Luck, S. J., & Kappenman, E. S. (2019). Electroencephalogram (EEG) Recording Protocol for Cognitive and Affective Human Neuroscience Research. Protocol Exchange . https://doi.org/10.21203/rs.2.18328/v3
Frane, A. V. (2021). Experiment-Wise Type I Error Control: A Focus on 2 × 2 Designs. Advances in Methods and Practices in Psychological Science , 4 (1), 2515245920985137. https://doi.org/10.1177/2515245920985137
Luck, S. J. (2014). An Introduction to the Event-Related Potential Technique, Second Edition . MIT Press.
Luck, S. J., & Gaspelin, N. (2017). How to get statistically significant effects in any ERP experiment (and why you shouldn’t). Psychophysiology , 54 , 146–157.
Luck, S. J., Stewart, A. X., Simmons, A. M., & Rhemtulla, M. (2021). Standardized Measurement Error: A Universal Measure of Data Quality for Averaged Event-Related Potentials. Psychophysiology .
Morey, R. D. (2008). Confidence intervals from normalized data: A correction to Cousineau (2005). Tutorials in Quantitative Methods for Psychology , 4 , 61–64.