VOLUME 30 , NUMBER 5 May 1999 Decision researchers split, but prolific While some criticize lab work on how people make decisions as irrelevant to the real world, others find value in old theories. By Beth Azar APA Monitor staff Over the past decade, a rift has developed in the branch of psychology that studies judgment and decision-making. Some researchers have broken away from the traditional experimental model of studying decision-making and have shifted to more qualitative methods to examine decision-making as it happens to people in real-life--from military commanders to neonatal nurses to nuclear power plant operators. Members of this self-described "movement," called Naturalistic Decision Making (NDM), have criticized traditional lab-based research, saying its theories are useless in natural settings. In contrast, the "traditionalists" say they have found much to draw on from the early lab work, which largely evaluated people's abilities to judge probabilities in gambling-type situations. In fact, they're using what they've learned as they, too, expand their work to include more real-life types of decisions--from a jury's ruling on punitive damages to an adolescent's decision to use condoms. Despite the tensions between the two branches of decision research, a rich body of science continues to flow from both. And, most researchers believe the two will eventually coexist peacefully, if not begin to collaborate. Indeed, one of decision research's old guard, Princeton University's Daniel Kahneman, PhD, says he has long been a fan of researcher Gary Klein's early studies of firefighters, which inspired NDM. He even says, "they are absolutely right that they should not be looking at what we do for help in what they do." "But," he adds, "the idea that they have a monopoly on studying the real world is unfounded. We're simply studying different pieces of the real world." Indeed, a main distinction between the two types of research is that NDM tends to focus on expert, tactical decision-making of the sort that a tank commander makes on the job and under pressure. In contrast, traditionalists have applied their research most successfully to situations that provide more opportunity to deliberate and less opportunity to acquire skill--choosing an investment or medical plan, or deciding whether to support a nuclear power plant in the neighborhood. NDM researchers' antagonism has, in large part, been rhetoric designed to establish their approach as a distinct field, says psychologist Lee Roy Beach, PhD, vice dean of business and public administration at the University of Arizona, who feels his work belongs in both camps. "If you're going to change things, sometimes you have to put your foot somewhere to press down," he says. Online decision-making Klein, a leader of the NDM movement, has stepped on a few toes in promoting the breakaway field. He's proclaimed that the best way to understand how people make decisions is by studying them in natural settings. He's also criticized traditional researchers for emphasizing decision-makers' limitations--for example, how misperceptions of the probability of an event can lead to erroneous decisions. Instead, as chief scientist and founder of the research and consulting firm Klein Associates, Inc., in Fairborn, Ohio, he has concentrated on strengths that expert decision-makers bring to their jobs--particularly in the heat of making a decision. Klein bases much of his work on a theory of decision-making he developed through his early studies of fire ground-commanders--people in charge of putting out urban and suburban fires. The theory states that people make decisions based on experience. Rather than coming up with several alternatives, then weighing them against each other, experts recognize a situation as similar to ones they've seen before and then choose the action that best fits the situation. This "recognition-primed decisionmaking (RPD)," as Klein calls it, also helps people recognize anomalies more quickly and assess the underlying dynamics even in unusual situations, he says. One fire ground-commander, for example, pulled his men out of a house just minutes before the floor collapsed. When first questioned, he couldn't say how he knew to evacuate--there were no overt signs of imminent danger. But on further questioning by Klein and his colleagues, the commander realized that the situation seemed odd to him, the fire was behaving unlike anything he'd experienced, so he pulled out to regroup. It's not just veterans who use the technique, says Klein. "The research shows that the theory generalizes to different domains--even those without times pressure," he says. "Real novices are stuck trying to figure out what their options are but they quickly move up the ladder. Once they gain any experience with the task, they start to see that there are different features that are important and times when a certain course of action makes sense." Image theory Arizona's Beach isn't surprised that Klein's RPD model generalizes, but he isn't sure that what Klein is looking at constitutes decision-making per se. Instead, it may better describe a general model of learning, Beach says--using experience to make future behavior more automatic. Beach also disagrees with Klein and others who argue that the real world is the best place to study true-to-life decision-making. He, like a growing cadre of researchers, studies realistic decision-making, but in the control of the laboratory. For example, he may give students data about prospective employers and examine how they decide with whom to take a job. "I think I fall somewhere in the middle" between NDM purists and traditionalists, he says. "I agree that we have to move away from simplistic models that take intuition and emotion out of decision-making, but the laboratory can provide some interesting findings." Beach has formed his own theory of decision-making called "Image Theory," which argues that decisions are not discrete events but are an integral part of the ongoing flow of life. Three main aspects of a person's life influence his or her decisions: the person's enduring beliefs and values; the person's agenda and goals; and the person's plans for attaining goals. For most decisions, people easily narrow their options by screening them through their values--certain options will be precluded because they're morally unacceptable. For example, for most people, if they need money, robbing a bank won't even enter their minds. Their value image screens it out, says Beach. People then use their goals and plans to make the final decision. As for people who continually make bad decisions, explains Beach, one of the reasons may be that they hold values that are self-defeating. Old theories revived Just as values may sway a person's decision, emotions may too, according to some of the more traditional decision-making researchers who, contrary to the criticisms of some NDM researchers, say they have begun addressing more real world decision tasks. And, in fact, their research is building on and expanding some old theories first discovered in the lab, they say. "It's silly to say that our theories and experiments are useless," says Princeton's Kahneman. With an eye toward possible legal reform, for example, he, David Schkade, PhD, of the University of Texas, Austin School of Business, and legal scholar Cass Sunstein, of the University of Chicago Law School, have been collaborating on studies of how individuals and mock juries set punitive awards. Under controlled conditions they replicated the familiar observation that dollar awards are erratic and relatively unpredictable, but that ratings of outrage over the same cases are highly consistent across individuals and juries. Dollar awards are erratic, they find, because jurors must map their outrage onto an unbounded and unfamiliar scale. But if people are able to compare two cases, they have a better chance of awarding damages commensurate with their level of outrage, Kahneman and his colleagues are beginning to find. For instance, if people compare the case of a child who was severely burned because her pajamas weren't fire retardant--a case that evokes outrage --and the case of a car dealership that was sold shoddy inventory by another dealership, they will award the child far more in punitive damages than the defrauded company. That finding holds even if the compensatory damages for the child-$500,000--are far less than for the company--$10 million. In contrast, when people hear the cases without an opportunity to compare them, the car dealership will receive more in punitive damages. These findings confirm a theory from early lab work called "preference reversal," which states that people may make different decisions depending on whether they decide in isolation or in comparison with another, similar issue. As the work of Kahneman and others attest, "the early work in the lab has been enormously useful to solving real problems," says psychologist Baruch Fischhoff, PhD, of Carnegie Mellon University. "We're finding enough cases when the theories apply to real world problems that we're glad the work is there. We also learn something about just how problems discovered in the lab express themselves in the real world, as well as identify new phenomena that merit the sort of systematic study only possible in the lab." It's that kind of back and forth from field to lab, says Beach, that will eventually lead to strong theories that explain the why and the how of people's decisions. Klein agrees that some lab work can be helpful--he's even done some himself. But, he adds, the "naturalistic" simulations must be realistic. To narrow medical decisionmaking down to a set of probabilities and statistics is laughable to any self-respecting physician, he says. Cover Page for this Issue APA Home Page . 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