Lesson 2034 of 2116
AI and Effect Size Translation: From Cohen's d to Plain English
AI translates effect sizes into plain-language analogies so creator-researchers communicate findings without misleading anyone.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2effect size
- 3communication
- 4statistics
Concept cluster
Terms to connect while reading
Section 1
The premise
A Cohen's d of 0.4 means little to readers; AI generates analogies that convey magnitude without overclaiming.
What AI does well here
- Convert standardized effects into intuitive comparisons
- Suggest visual analogies (heights, distances, dollars)
- Flag when an analogy oversells the effect
- Provide multiple framings for different audiences
What AI cannot do
- Decide which framing is honest for your specific finding
- Substitute for proper confidence interval reporting
Key terms in this lesson
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