Planning sample sizes when effect sizes are uncertain: The power-calibrated effect size approach.
Abstract
Statistical power and thus the sample size required to achieve some desired level of power depend on the size of the effect of interest. However, effect sizes are seldom known exactly in psychological research. Instead, researchers often possess an estimate of an effect size as well as a measure of its uncertainty (e.g., a standard error or confidence interval). Previous proposals for planning sample sizes either ignore this uncertainty thereby...
Paper Details
Title
Planning sample sizes when effect sizes are uncertain: The power-calibrated effect size approach.
Published Date
Jan 1, 2016
Journal
Volume
21
Issue
1
Pages
47 - 60
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History