The effect of the quantity of information which decision makers receive per unit time and the effect of the length of time spent in decision-making groups on the degree of risk taking in decision making were examined. A simulated decision-making task of some complexity was used for data collection to permit comparison with results obtained in simpler laboratory settings. It was found that risk taking increases with time spent in decision making and reaches highest levels under optimal information conditions. Parallels to studies in simpler environments were examined.In recent years, psychologists have been widely concerned with the risk-taking and the risky-shift phenomena. Several theoretical views (e.g., Kogan & Wallach, 1964;Brown, 1965;Rettig, 1966; Pruitt, 1962), as well as considerable research, have been presented. Most of the research, whether quantitative in orientation (e.g., Edwards, 1953Edwards, , 1954 Coombs & Pruitt, 1960) or designed as an analysis of social-personality contexts (e.g., Wallach, Kogan, & Bem, 1962;Rettig, 1966), has utilized small-scale (e.g., gambling) tasks, where Ss were either operating as advisors with little or nothing to lose or to gain, or were able to win small sums of money by playing against the "strategy" of another team or against a program. Little research concerned with more "real" situations has been reported. In this study, an initial attempt was made to collect information on risk-taking variables in more complex decision-making tasks.Obtaining quantifiable risk-taking data for complex situations, which contain several underlying dimensions, does present some difficulty. In such settings, defInitions of "risky" decision making, and quantifications of such decisions into ordinal or interval scales on which the degree of risk or the amount of risky shift can be measured, are difficult to achieve. An opportunity for a first step in this direction was presented in the Tactical Game simulation of Streufert, Clardy, Driver, Karlins, Schroder, & Suedfeld (1965). This game utilizes an analysis of decision making in response to a preprogrammed environment. Decisions are made on a single task dimension (military operations), although the decisions may be based on multidimensional cognitions. The programmed environment permits experimenter induction of an independent variable of his choice (a manipulation possible only in this form of "experimental" simulation). Quantifiable analyses of decisions and decision-making patterns (cf. Streufert, Driver, & Haun, 1967; permit identification and quantification of risky decisions and of the degree oL risk involved.In this study we were concerned with the analysis of risky decision making in complex situations from two different points of view: (I) What was the effect of time spent in decision making on risk taking, and (2) (1965) and based on complexity theory (Driver & Streufert, 1966;Schroder, Driver, & Streufert, 1967;. These researchers demonstrated that decision making is optimal (in terms of an integration criterion) for ...