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Sample Size Workshop Power and Sample Size for Multilevel and Longitudinal Study Designs

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  • Module 1
    • Module 1 Overview
    • 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 - current page
    • Module 2 Overview
    • 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 - current page
  • Module 3
    • Module 3 Overview
    • 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
    • Module 4 Overview
    • 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
    • Module 5 Overview
    • 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
  1. Module 2
  2. Module Two Activities
Module 2 Overview
  • 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 Two Activities

  • Practice Assessment
  • Module 2 Assessment
  • Power or Sample Size Analysis Problem








  
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Sample Size Workshop Power and Sample Size for Multilevel and Longitudinal Study Designs
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