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1 Introduction. 2 Simulating General Linear Models. 3 Simulating General Linear Mixed Models. 4 Simulating Generalized Linear (Mixed) Models. 5 Varying Simulation Parameters. 6 Simulating Data that are Realistic. 7 What is Power?. 8 Power by Simulation. 9 Varying Arguments to Estimate Power. 10 Alternatives to Power from Significance Testing. 11 Randomized Controlled Trials. 12 Cluster Randomized Controlled Trials. 13 Interrupted Time Series. 14 Regression Discontinuity. 15 Difference in Differences. 16 Propensity Scores. 17 Non-Experimental Designs. 18 Simulation as a Framework for Study Design and Causal Reasoning. |