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CARMA’s First Webcast Lecture 2021-2022

Abstract

This presentation will center on planning the appropriate sample size for studies using linear regression analyses. Just as researcher goals and intentions can vary across studies, different approaches to sample size planning have been developed to help design studies that will be successful at reaching these goals. I will begin with some background on sample size and statistical power in the behavioral sciences and how power has an impact on the field. Then, given that deciding upon an appropriate value for the effect size can be especially challenging when sample size planning for regression, I will describe two approaches to sample size planning for desired statistical power, focusing in particular on an approach that circumvents some of the complexity in parameterizing the effect size. After demonstrating sample size planning in practice with freely available software, I will describe and briefly demonstrate sample size planning for accurate estimation.

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