Table 1. Summary of the final results of the meta-analyses conducted in the current manuscript.

Analysis	k	Mean Weighted Effect Sizes	95% CI (low)	95% CI (high)
Sex differences in the FWHR	32	$\overline{\mathit{d}}$ = 0.11	0.03	0.20
FWHR and Perceptions of Masculinity	12	$\overline{\mathit{r}}$ = .30	.18	.42
Stimuli sets of male faces	10	$\overline{\mathit{r}}$ = .35	.23	.47
Stimuli sets of female faces	2	$\overline{r}$ = -.01	-.26	.25
FWHR and Threat and Dominance Behaviour
Threat Behaviour	31	$\overline{\mathit{r}}$ = .13	.09	.17
Within men	22	$\overline{\mathit{r}}$ = .16	.11	.21
Within women	9	$\overline{r}$ = .04	-.04	.12
Within Samples from North America	9	$\overline{\mathit{r}}$ = .25	.17	.33
Within Samples from Other areas	13	$\overline{\mathit{r}}$ = .12	.07	.17
Dominance Behaviour	16	$\overline{\mathit{r}}$ = .12	.05	.18
Success in Business-Related Outcomes	5	$\overline{\mathit{r}}$ = .32	.12	.50
Sports Performance	4	$\overline{\mathit{r}}$ = .15	.08	.22
FWHR and Perceptions of Threat and Dominance
Perceptions of Threat
Studies using a correlational design and/or a continua of faces with un-manipulated FWHRs	37	$\overline{\mathit{r}}$ = .46	.39	.53
Judgements were more strongly linked to the FWHR when faces were of younger than older individuals (k = 26, B = .40, p < .0001)
Judgements of aggression were more strongly linked to the FWHR than were other types of judgements of threat (k = 26, B = .15, p = .01)
Studies using manipulated FWHRs	7	$\overline{\mathit{d}}$ = 0.41	0.29	0.53
Perceptions of Dominance	7	$\overline{\mathit{r}}$ = .20	.06	.34
Stimuli sets of male faces only	4	$\overline{\mathit{r}}$ = .30	.19	.40
Stimulus sets of or including female faces	3	$\overline{r}$ = .06	-.19	.31
FWHR and Perceptions of Attractiveness	14	$\overline{\mathit{r}}$ = -.26	-.40	-.10
The negative relationship between judgements of attractiveness and the FWHR was stronger among samples with a greater than a lesser proportion of female observers (k = 14, B = .008, p = .01)
FWHR and BMI	22	$\overline{\mathit{r}}$ = .31	.26	.36

Bolded effect sizes are significant and have confidence intervals that do not overlap zero (p < .05). k = number of samples included in the analysis. $\overline{d}$ = standardized mean difference, adjusted for small sample size bias. $\overline{r}$ = untransformed effect size coefficient (Pearson product moment correlation). CI = confidence interval.