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Thinking and Deciding

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METHODS FOR EMPIRICAL RESEARCH 47<br />

develop new treatment methods often proceed on the basis of imperfect research.<br />

Similarly, educators <strong>and</strong> decision scientists can develop new ways to improve thinking<br />

<strong>and</strong> decision making on the same basis.<br />

General issues<br />

A few general issues arise repeatedly in discussions of research on judgment <strong>and</strong><br />

decision making.<br />

Within-subject versus between<br />

Often a researcher wants to examine the effect of some manipulation on a judgment.<br />

For example, consider the “outcome bias” experiments of Baron <strong>and</strong> Hershey (1988).<br />

The idea was to show that subjects judged the quality of a decision by its outcome,<br />

even when the outcome was determined by luck <strong>and</strong> when the subjects knew everything<br />

that the decision maker knew. Subjects made judgments about hypothetical<br />

scenarios, in which someone made a decision that had either a good or bad outcome.<br />

For example, a surgeon decided to do an operation, with a known probability of success,<br />

<strong>and</strong> the operation either succeeded or not. Subjects judged the surgeon to be a<br />

better decision maker when the operation succeeded. The success, of course, was a<br />

matter of luck. The surgeon had taken a “calculated risk.”<br />

One way of doing this kind of experiment is to present the good <strong>and</strong> bad outcomes<br />

next to each other. For example, “Suppose that the operation succeeded <strong>and</strong> the<br />

patient recovered. Please rate the surgeon’s decision. Now suppose that the operation<br />

failed <strong>and</strong> the patient died. Please rate the decision again.” When this is done, most<br />

subjects give the same rating. They underst<strong>and</strong> that using the outcome is a judgment<br />

made in hindsight <strong>and</strong> that the surgeon knew only the probability of success. This is<br />

called a within-subject design because the experimental manipulation is done within<br />

each subject. It is also a transparent design, because the subject can easily see the<br />

manipulation.<br />

Another way to do the experiment is to present the good <strong>and</strong> bad outcomes to<br />

different subjects. This is called a between-subject design. In this kind of research,<br />

these two methods answer somewhat different questions. The within-subject method<br />

asks what subjects think they should do. In this case, it asks whether they think<br />

that outcome ought to matter. It is obvious, when the two outcomes are next to<br />

each other, that this is what they are being asked. The between-subject method asks<br />

whether people are affected by success versus failure when they are unaware that the<br />

difference is being manipulated. This is more like the real-world situation.<br />

Subjects think that success-failure should not matter, yet they are affected by it<br />

in a between-subject design. This seems to be a clear demonstration of a violation of<br />

a normative model, since the subjects themselves endorse the normative model that<br />

outcome should not matter. At the very least, the subjects are being inconsistent with<br />

their own judgments. But what of those few subjects who show the effect even in a<br />

within-subject design? Can they too be said to be violating a normative model?

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