02.03.2013 Views

Thinking and Deciding

Thinking and Deciding

Thinking and Deciding

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

320 UTILITY MEASUREMENT<br />

Simple direct judgment <strong>and</strong> the analog scale<br />

The simplest way to estimate utility is to assign numbers to the various outcomes.<br />

For example, suppose you must decide whether to accept a job or to refuse it <strong>and</strong><br />

hope for a better offer, which you expect with a probability of .5. There are three<br />

possible outcomes: the job you have been offered (B); the better offer (A); <strong>and</strong> the<br />

job you would have to take if the better offer does not come through (C). To assess<br />

your expected utility, you might assign a value of 100 to job A, <strong>and</strong> a value of 0 to<br />

job C, <strong>and</strong> ask yourself where job B falls on this scale. Clearly, if the value of job<br />

B is greater than 50, the expected utility of accepting job B is higher than that of<br />

waiting.<br />

A visual aid like the following is often used to help subjects make judgments like<br />

this. The ends of the line are labeled with the extreme conditions (A <strong>and</strong> C), <strong>and</strong> the<br />

subject is asked to mark the line where the other condition falls (B). This is called<br />

the visual analog scale. We have no evidence that the visual aspect of it helps in any<br />

way, but also no evidence that it hurts.<br />

A B C<br />

The direct approach has the virtue of simplicity, but it has a couple of defects.<br />

First, you (the judge of your utilities) have not been told much about what the numbers<br />

you assign are supposed to mean. The only requirement that is obvious to you<br />

is that higher numbers should correspond to higher utilities. You are free to assign<br />

ratings that express the square of the utility (or some other function) rather than the<br />

true utility. If you did this, a rating of 36 for job B would correspond to a true utility<br />

of 6, <strong>and</strong> a rating of 100 would correspond to a utility of 10. Although the analysis<br />

would say that you should decline job B (because 36 is less than 50, which is half the<br />

assessed utility of A), the true utilities would say that you should take job B (because<br />

6 is greater than 5, which is half the true utility of job A).<br />

Another problem with direct scaling (<strong>and</strong> perhaps with other methods) is that<br />

psychological experiments suggest the relative ratings chosen depend on the set of<br />

stimuli used. For example, if subjects are asked to rate the length of rods that are<br />

respectively 1, 3, 5, 7, 8, 9, <strong>and</strong> 10 inches long, they tend to rate the longer rods<br />

as more different in length <strong>and</strong> the shorter rods as closer in length than they really<br />

are. If, on the other h<strong>and</strong>, subjects are given rods with lengths 1, 2, 3, 4, 6, 8,<br />

<strong>and</strong> 10 inches, the reverse is found (Poulton, 1979). The same may be true for rating<br />

utilities. In general, judgments tend toward even spacing, or equal use of all response<br />

categories (Mellers <strong>and</strong> Birnbaum, 1982; Parducci, 1965).<br />

These effects might be avoidable by selecting stimuli carefully (on the basis of<br />

preliminary studies) or by presenting only three stimuli at a time. A form of this<br />

effect still happens even with three stimuli, however. Suppose you are asked, “On a<br />

scale where 0 is being blind <strong>and</strong> deaf <strong>and</strong> 100 is normal health, where is being blind?”

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!