Simulation-Based Power Analyses in Mplus

This one-day workshop will teach you how to flexibly conduct simulation-based power analyses using the software program Mplus. You will learn the logic behind power analyses, and how to set up simulations to estimate power for simple models (e.g., regression) to complex models (e.g., multilevel models with cross-level interactions).

Instructor:
Aidan Wright, PhD (University of Michigan)

Workshop Dates and Times:
Monday, August 12th, 10:00am – 3:30pm ET

Workshop Format:
One-Day Synchronous Online Workshop

Power analyses are now an expected part of behavioral and health science grant proposals. Top tier journals now require sections devoted to power analyses and sample size justification. In short, to be successful in the field these days, power analysis skills are a necessity. However, the logic of power analyses remains poorly understood, even among experienced researchers. Also, given the complexity of many modern statistical models, it is commonly recommended that “simulation-based” power analyses be used to match the estimation to the real-world modeling scenario. This workshop is designed to give you the necessary skills for designing and executing simulation-based power analyses in Mplus. Mplus is equipped with powerful Monte Carlo simulation capabilities. Through this course you’ll learn the logic behind power analysis as well as how to estimate power for simple to complex models, including basic regression models, structural equation models, multilevel models, among others. You will also learn how to incorporate measurement error into your estimates, and other tricks like detecting specific types of misspecification.

What you’ll learn

  • Fundamentals – Understand the logic behind power analysis and simulation

  • Coding Skills – Develop the skills to code sophisticated power analyses in Mplus.

  • Interpretation – Learn how to interpret output and identify critical pieces of information about your chosen model.

  • Strategies – Gain insight into strategies to prepare successful power analyses for grant submissions.

Syllabus

Day 1

  1. Intro to logic of power analysis and simulation

  2. Overview of Mplus capabilities and interpretation

  3. Single level regression

  4. Multilevel Regression

  5. Factor Models/SEM

  6. Incorporating Measurement Error

Registration Options

Simulation-based Power Analysis in Mplus

  • Professional
  • $299
  • Baseline Price for Faculty,
    Staff, and Other Professionals
  • Click Register Below
  • Trainee
  • $299 $199
  • 33% Discount for
    Students and Postdocs
  • Use code "TRAINEE" at Checkout

Combo 1: Simulation-based Power Analysis in Mplus + Transitioning to Mplus for Multilevel Modeling

  • Professional
  • $898 $719
  • Baseline Price for Faculty,
    Staff, and Other Professionals
  • 20% Combination Discount
  • Click Register Below
  • Trainee
  • $898 $599
  • 33% Discount for
    Students and Postdocs
  • 20% Combination Discount
  • Use code "TRAINEE" at Checkout

 FAQs

  • Investigators and trainees interested in learning how to do simulation-based power analyses.

  • Beginner

  • This workshop is prepares specially for current scientists and trainees actively doing empirical research. Basic graduate level statistics courses are assumed.

  • Mplus

  • Participants will be provided with annotated example code and practice data.