ABSTRACT
This chapter explores information-theoretic measures to simplify candidate models, thereby focusing attention on the most meaningful patterns. It attempts to interpret the observed patterns in the data when the impact of Year, Industry, City, Religious-Base, Board Size, and all of the two-way interactions between these predictors was modeled, on targets including board member race, gender, college attendance, and higher education achieved. The targets also include managerial and professional status, listings in Who's Who, Social Register, Standard & Poor's Register of Corporations, Directors, and Executives, attendance at Ivy League institutions, connection between birth location and nonprofit location, and numbers of memberships on nonprofit and for profit boards. The number of other nonprofit boards on which trustees sat increased over subsequent time periods, at the same time that the total number of nonprofit organizations also increased, made us wonder if people were witnessing increasing nonprofit elite concentration.
