Sample Size Planning
Integrating Power Analysis and Estimation Precision
Central Question
How should researchers determine sample sizes that balance statistical power with parameter estimation accuracy?
Overview
Sample size planning in quantitative research traditionally focuses on either statistical power (hypothesis testing) or accuracy in parameter estimation (AIPE). This research develops a unified framework that integrates both perspectives, helping researchers make more informed decisions about the resources needed for their studies.
Selected Publications
Journal manuscripts in preparation. See conference presentations for preliminary results.