marginally significantp≤0.08
Significant and marginally significant (p≤0.08) shape and colour components were visualised using PsychoMorph by (a) producing sex-specific composite images, which consists of 10 individual images averaged together (b) averaging the five highest and five lowest images for the particular component to produce a high and low average image (prototype) for that component, and (c) transforming the composite images 100% towards both the high and low average images [53] , [54] .