The decision process of a professionalized legislature: A cognitive anthropology approach

Political science research indicates that some state legislatures have become more professionalized, i.e., taken on many of the characteristics of Congress such as yearround sessions, professional staffs, and formalized bill processes. But is professionalization a factor in legislators' decision making? Triangulated analysis—consensus, cluster, and multidimensional scaling—of two paired comparisons that were administered to a stratified random sample of a professionalized legislature suggests that some of the professionalized characteristics do affect legislators' perception of their decision making on one area of policy, the regulation of and resource allocation to public universities. The analysis also shows that influences on legislators' decision process fluctuate according to issue.     

Small group decision making: The uncertain role of information in reducing uncertainty

Although decision-making analysis has been widely pursued in political science and other fields, most emphasize an outcome orientation, ignoring (or assuming away) the process by which decisions are made. This study treats the process of decision making at the small group level by applying the cognitive information processing model to the methods by which search behavior reduces uncertainty in the collective environment. After examining the theoretical constraints on search behavior, an experiment is performed on student subjects with two of the constraints—information level and decision rule—operationalized as treatment variables on the volume and type of search by individuals in a small group environment. The findings suggest that increasing information availability and requiring consensus decisions will increase search, but that subjects are easily overloaded with information, increasing—not reducing—their uncertainty about their decisions.