The emergence of minimally intrusive techniques for collecting biological data creates a case for the inclusion of these data into bullying research models. This integration would produce a more comprehensive understanding of the problems and better direct intervention and prevention techniques, which are currently based primarily on self-report, peer nomination, and observational research data. The authors make the case for including biological measures in research on bullying and present sample research questions and potential counseling practice applications.