Interpreting Effect Sizes and Confidence Intervals

Abstract

Pre-requisites:

• Basic research methods knowledge
• Perhaps some basic introductory statistical knowledge
• If running the seminar exercise (extra), basic familiarity with R

Learning outcomes:

1. Students understand that confidence intervals are an important addition to p-value research.
2. Students understand how to meaningfully interpret confidence intervals.
3. Students get hands-on experience with visualization.
4. Students understand the meaning of effect size and how it is calculated.

Activities: Introduction to effect sizes Visualize effect sizes using the shiny app for cohen’s d Introduction to confidence intervals Visualize confidence intervals using the shiny app Tutorial on how to compute Cohen’s d and confidence intervals in R