Assessment of color using human vision (or standards based thereon) is cent
ral to tests of many evolutionary hypotheses. Yet fundamental differences i
n color Vision between humans and other animals call this approach into que
stion. Here we use techniques for objectively assessing color patterns that
avoid reliance on species-specific (e.g., human) perception. Reflectance s
pectra are the invariant features that we expect the animal's color cogniti
on to have evolved to extract. We performed multivariate analyses on princi
pal components derived from >2,600 reflectance spectra (300-720 nm) sampled
in a stratified random design from different body regions of male and fema
le starlings in breeding plumage. Starlings possess spatially complex pluma
ge patterns and extensive areas of iridescence. Our study revealed previous
ly unnoticed sex differences in plumage coloration and the nature of irides
cent and noniridescent sex differences. Sex differences occurred in some bo
dy regions bur not others, were more pronounced at some wavelengths (both u
ltraviolet and human visible), and involved differences in mean reflectance
and spectral shape. Discriminant analysis based on principal components we
re sufficient to sex correctly 100% of our sample. If hidden sexual dichrom
atism is widespread, then it has important implications for classifications
of animals as mono- or dimorphic and for taxonomic and conservation purpos
es.