Complexity, interaction, and policy research

Abstract

While references to the complexity of the subject matter permeate both policy rhetoric and policy research, remarkably little effort is generally expended on the search for nonlinear and nonadditive relationships among variables. This paper discusses the importance of incorporating such a search into exploratory data analysis and the theoretical and methodological problems which may arise. A number of strategies for coping with excessive interaction are presented and seven prescriptions are offered.