Are you a University of Kentucky faculty member or student designing a research study? Want to know how to be sure it has adequate sample sizes to determine the minimum meaningful effect size? Register for a free, online talk by Dr. James Peugh, research associate professor and quantitative psychologist at the Cincinnati Children’s Hospital, Department of Pediatrics, Behavioral Medicine & Clinical Psychology Division. Peugh will explain the Monte Carlo Simulation Power Analysis methods using Mplus via Zoom from 2 to 5 p.m. Friday, May 1. After registering, you will receive a confirmation email containing information about joining the meeting.
Peugh’s talk will explain Monte Carlo Simulation Power Analysis. It will be hosted by Dr. Michael Toland, professor in the University of Kentucky College of Education Department of Educational, School, and Counseling Psychology.
“These types of power analyses are necessary and required by granting agencies to ensure the money they are providing for a study will fund a project that can detect effects,” Toland said. “Studies that have lower power are not funded. This talk is very important for those applying for grants or students wanting to ensure their study has a large enough sample size to conduct adequate data analyses.”
The Monte Carlo simulations are the most accurate way to compute statistical power estimates. For many, both the logic and the mathematics of Monte Carlo power analysis simulations are unknown. This presentation discusses the logic behind simulation power analyses and provides examples of cross-sectional, longitudinal, and multilevel Monte Carlo simulation power analyses.
For more information, contact Dr. Michael Toland at email@example.com.