Power Analysis, Clearly Explained!!! Finally your paper will not be rejected
Unlock the Secrets of Power Analysis for Research Success!
Join Reno in this beginner-friendly introduction to statistical power analysis — the essential step every researcher should take before starting experiments. Whether you’re a PhD student, postdoc, or industry researcher, you’ll learn:
What statistical power really means and why it matters
How to understand alpha, beta, and error types
The difference between within-subject and between-subject designs
How to avoid underpowered studies that waste time and resources
Free online tools for calculating sample size and planning experiments
Packed with practical examples from real research projects, this session will help you design experiments that are robust, efficient, and publishable in top journals.
If you’ve ever been asked in a viva or peer review, “Have you done a power analysis?” — this video is your starting point.
Keywords: power analysis, sample size calculation, statistical power, research methods, experimental design, alpha beta errors, within subject, between subject, statistics for researchers, academic research tips, G*Power tutorial, how to calculate sample size
Timestamp:
0:00 - Intro
4:06 - Background and Definitions
26:54 - Power Analysis
44:58 - GPower Tutorial
1:05:06 - Jamovi Tutorial
1:07:03 - Conclusions
The outline of this workshop is:
Basic definitions
Statistical testing
Error Type
Powe Analysis
G* Power (short) tutorial