5 Effect size methods ✎ Very rough draft

5.1 Refresher on effect size calculation

Calculation of Cohen’s d, r, etc.

5.2 Distributions of effect sizes

Distributions of d, r, partial eta-squared, etc.
- For different types of phenomena/tests (e.g., interventions vs manipulation checks)
- For different fields
- Avoiding ever saying “domain knowledge”

5.3 Maximum positive controls and intuition benchmarks

Using known effects as anchors for plausibility assessment

5.4 Common errors

The Standard Error error (reporting SE instead of SD, or vice versa)

# Effect size methods <span class="badge badge-draft1">✎ Very rough draft</span>

```{r}
#| include: false
if(file.exists("../_setup.R")){source("../_setup.R")}
```

## Refresher on effect size calculation

- Calculation of Cohen's *d*, *r*, etc.

## Distributions of effect sizes

- Distributions of *d*, *r*, partial eta-squared, etc.
  - For different types of phenomena/tests (e.g., interventions vs manipulation checks)
  - For different fields
  - Avoiding ever saying "domain knowledge"

## Maximum positive controls and intuition benchmarks

- Using known effects as anchors for plausibility assessment

## Common errors

- The Standard Error error (reporting SE instead of SD, or vice versa)