Social science research is fragmented by the widely differing and seemingly contradictory approaches used by the different disciplines of the social sciences to explain human action. Attempts at integrating different social science approaches to explain action have often been frustrated by the difficulty of incorporating cultural assumptions into rational choice theories without robbing them of their generality or making them too vague for predictions. Another problem has been the major disagreements among cultural theorists regarding the ways in which culture affects preferences and beliefs.
This book provides a general model of preference and belief formation, addressing the largest unresolved issue in rational choice theories of action. It attempts to play a bridging role between these approaches by augmenting and modifying the main ideas of the "rational choice" model to make it more compatible with empirical findings in other fields. The resulting model is used to analyze three major unresolved issues in the developing world: the sources of a government's economic ideology, the origins of ethnic group boundaries, and the relationship between modernization and violence.
Addressing theoretical problems that cut across numerous disciplines, this work will be of interest to a diversity of theoretically-minded scholars.
Sun-Ki Chai is Assistant Professor of Sociology, University of Arizona.

Sunita Parikh examines the history and fate of affirmative action programs in two ethnically heterogeneous democracies, the United States and India. Affirmative action programs in the United States represent a controversial policy about which the American public feel at best ambivalence and at worst hostility, while in India the expansion of reservation policies in recent years has led to riots and contributed to the fall of governments. And yet these policies were not particularly controversial when they were introduced. How the policy traveled from these auspicious beginnings to its current predicament can best be understood, according to Parikh, by exploring the changing political conditions under which it was introduced, expanded, and then challenged.
Although they are in many respects very different countries, India and the United States are important countries in which to study the implementation of ascriptive policies like affirmative action, according to Parikh. They are both large, heterogeneous societies with democratic political systems in which previously excluded groups were granted benefits by the majorities that had historically oppressed them. Parikh argues that these policies were the product of democratic politics--which required political parties to mobilize existing groups as voters--and the ethnically heterogeneous nature of Indian and U.S. society--where ethnic markers are particularly salient sources of identification as groups. Affirmative action in both countries was introduced because it could be used to solidify and expand electoral coalitions by giving benefits to defined minority groups, according to Parikh. As the policy became better known, it became more disliked by non-targeted groups, and it was no longer an appeal which was cost free for politicians.
This book will be of interest to social scientists concerned with race and ethnic relations and with the comparative study of political and social systems.
Sunita Parikh is Assistant Professor of Political Science, Columbia University.

Proximity and Preference was first published in 1982.How does one design experiments for collecting large volumes of data such as those needed for marketing surveys, studies of travel patterns, and public opinion polls? This is a common problem for social and behavioral scientists. The papers in this collection address the problems of working with large data sets primarily from the perspectives of geography and psychology, two fields that share a common quantitative research methodology.After an introductory paper on substantive and methodological aspects of the interface between geography and psychology, the book is divided into three sections, experimental design and measurement problems, preference functions and choice behavior, and special problems of analyzing large data sets with multidimensional methods. Each paper is directed toward some fundamental problem such as those relating to experimental design, data reliability, and the selection of analytical methods which are appropriate for data sets of various sizes, completeness, and reliability.