Description
Sample size planning is an essential part of designing research studies that can actively answer scientific of questions of interest and contribute meaningfully to a research literature. The goal of this workshop is to provide a comprehensive introduction to sample size planning for statistical power and accurate estimation, focusing on designs and approaches commonly considered by researchers in the educational, psychological, behavioral, and health sciences. Topics include planning for statistical power, accurate estimation, fitting complex models, sequential sample size planning, and additional considerations. The workshop equally weights (1) coverage of the conceptual foundations underlying sample size, power, and accuracy, and (2) guidance on applying sample size planning in realistic scenarios. Relevant software demonstrations using freely-available software will be interwoven throughout the workshop to demonstrate sample size planning for both power and accuracy. The unifying goal of the workshop is to provide researchers with an accessible introduction sample size planning, statistical power, and accuracy, with the tools and knowledge to use these approaches to improve the design of their own studies.
