Table 1.

The seven Meta‐Essentials workbooks

	File name	Type of effect	Effect size measure	Example
Generic	1 Effect size data.xlsx	Any, as long as directly comparable	Mean Difference (for example)
d‐family	2 Differences between independent groups ‐ binary data.xlsx	Difference between two independent groups with binary outcome	Odds ratio, risk ratio, or risk difference	Counts of patients that survived or died cancer after an experimental versus control treatment.
	3 Differences between independent groups ‐ continuous data.xlsx	Difference between two independent groups with continuous outcome	Standardized mean difference: Cohen's d or Hedges' g	The difference between the performance of sports teams that received intensive training and those that did not receive intensive training
	4 Differences between dependent groups ‐ continuous data.xlsx	Difference between two dependent groups with continuous outcome	Standardized mean difference: Cohen's d or Hedges' g	The difference between the performance of sports teams before and after receiving intensive training
r‐family	5 Correlational data.xlsx	Correlation between two variables	(Zero‐order) correlation coefficient	The relationship between age and income
	6 Partial correlational data.xlsx	Relation between two variables, controlled for other variable(s) in both predictor and outcome	Partial correlation coefficient	The relationship between age and income, controlled for socio‐economic status, assuming socio‐economic status is related to both age and income
	7 Semi‐partial correlational data.xlsx	Relation between two variables, controlled for other variable(s) in outcome	Semi‐partial correlation coefficient	The relationship between age and income, controlled for education, assuming education is related to income, but not age