Researchers commonly ask subjects to self-identify their race from a menu of preestablished options. Yet if race is a multidimensional, multilevel social construction, this has profound methodological implications for the sciences and social sciences. Race must inform how we design large-scale data collection and how scientists utilize race in the context of specific research questions. This landmark collection argues for the recognition of those implications for research and suggests ways in which they may be integrated into future scientific endeavors. It concludes on a prescriptive note, providing an arsenal of multidisciplinary, conceptual, and methodological tools for studying race specifically within the context of health inequalities.
John A. Garcia, Arline T. Geronimus, Laura E. Gómez, Joseph L. Graves Jr., Janet E. Helms, Derek Kenji Iwamoto, Jonathan Kahn, Jay S. Kaufman, Mai M. Kindaichi, Simon J. Craddock Lee, Nancy López, Ethan H. Mereish, Matthew Miller, Gabriel R. Sanchez, Aliya Saperstein, R. Burciaga Valdez, Vicki D. Ybarra