Effective Team Performance Under Stress and Normal Conditions: An Experimental Paradigm, Theory and Data for Studying Team Decision Making in Hierarchical Teams with Distributed Expertise

TL;DR: A team simulation exercise was developed to address team decision for four person teams, and repeated measures regression is used as a means of analyzing team data by taking advantage of the statistical power available at various levels of analysis.

Abstract: : The report describes a program of research addressing decision making in hierarchical teams with distributed expertise. A theory of such decision making is presented along with empirical research related to the theory. Then a team simulation exercise was developed to address team decision for four person teams. This exercise presents teams with problems that require gathering and sharing information prior to reaching a team decision and also allow for the assignment of team members to roles that differ in areas of expertise. This exercise, performed on four networked computers, allows for the assessment of a large number of team behaviors. Along with the exercise, repeated measures regression is used as a means of analyzing team data by taking advantage of the statistical power available at various levels of analysis. Several studies were conducted to assess the viability of theory and to look at a number of other issues of decision making. Team decision making, Distributed expertise, Group dynamics, Hierarchical teams, Levels analysis of teams