Understanding decision making about balancing two stocks: the faculty gender balancing task

This paper contributes to the understanding of dynamic decision making by exploring how people understand the dynamic system underlying a task with modest dynamic complexity. Using the faculty gender balancing task, we experimentally test the extent to which participants correctly estimate the inflow needed to balance two unbalanced stocks and how they substantiate their decision. The results, based on performance data for 133 participants, show...