Unscripted E6: Type I & II Errors and Statistical Power

In this sixth episode of Unscripted Dan and Patrick bicker, squabble, mutter, eyeroll, argue, dispute, and disagree with one another over Type I & II errors and statistical power as these arise in psychological and social science research. They review core concepts of inferential testing, briefly describe traditional methods for computing power, and grouse like old men (which, in fairness, they are) about how none of these methods actually apply to the types of models most commonly used in contemporary research settings. Please visit centerstat.org for additional freely-available instructional materials and other training opportunities. You can also sign up for notifications about future Unscripted episodes at centerstat.org/centerstat-unscripted/ Anderson, S. F., & Kelley, K. (2022). Sample size planning for replication studies: The devil is in the design. Psychological Methods. Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample-size planning for more accurate statistical power: A method adjusting sample effect sizes for publication bias and uncertainty. Psychological Science, 28, 1547-1562. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers. Cohen, J. (1990). Things I have learned (so far). American Psychologist, 45, 1304–1312. Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1, 98-101. Cohen, J. (1994). The earth is round (p LT .05). American Psychologist, 49, 997.