Sitemap Module 1 1.0 Review of Basic Statistical Concepts 1.1 Introducing Longitudinal Studies 1.2 Studies with a Single Level of Clustering 1.3 Studies with Multiple Levels of Clustering 1.4 Multilevel and Longitudinal Studies Module One Activities Module 2 2.0 Within and Between Independent Sampling Unit Factors 2.1 Understanding the Hypothesis 2.2 Power and Type I Error 2.3 Choosing the Test 2.4 Correlation Structure Module Two Activities Module 3 3.0 Model Assumptions 3.1 Alignment of Power and Data Analysis 3.2 Predicting Missing Data and Dropout 3.3 Accounting for Missing Data and Dropout 3.4 Continuous, Binary and Poisson Outcomes Module Three Activities Module 4 4.0 Inputs for Power Analysis: Literature Review 4.1 Inputs for Power Analysis: Internal Pilot Studies 4.2 Inputs for Power Analysis: Planned Pilot Studies 4.3 Studying Power Via Simulation 4.4 Demonstrating Recruitment Feasibility 4.5 Handling Multiple Aims Module Four Activities Module 5 5.0 Ethics of Power and Sample Size 5.1 Writing the Sample Size Section for Your Grant 5.2 Graphics for Power and Sample Size 5.3 Power for Subgroup Analysis 5.4 Getting Funded Module Five Activities Credits Exit