Evaluating effect size in psychological research¶
Funder, D. C., & Ozer, D. J. (2019). Evaluating effect size in psychological research: Sense and nonsense. Advances in Methods and Practices in Psychological Science, 2(2), 156-168.
Cited by¶
1 citation across 1 artifact.
Primes¶
- Effect Size
- Regression-coefficient reporting with confidence intervals and effect-size interpretation based on economic context (e.g., a 0.1 percentage-point change in GDP growth is a very large effect) is standard practice
Supported in partVerified against the publisher's abstract
Funder & Ozer's abstract shows effect sizes are underappreciated and misdescribed and proposes judging them against benchmarks or concrete consequences — it backs centering magnitude, not that this prevents both failures.
“Effect sizes are underappreciated and often misinterpreted—the most common mistakes being to describe them in ways that are uninformative (e.g., using arbitrary standards) or misleading (e.g., squaring effect-size rs). We propose that effect sizes can be usefully evaluated by comparing them with well-understood benchmarks or by considering them in terms of concrete consequences.”
- Regression-coefficient reporting with confidence intervals and effect-size interpretation based on economic context (e.g., a 0.1 percentage-point change in GDP growth is a very large effect) is standard practice
Verification¶
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