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Russel-Research-Method-in-Anthropology

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296 Chapter 10<br />

If you run through this process with a sufficiently large, representative sample<br />

of a population, and if people cooperate and answer all questions truthfully,<br />

then you can calculate the percentage of the population that answered<br />

‘‘yes’’ to question A. Here’s the formula:<br />

P A or B (P A P A ) (P B P B ) Formula 10.2<br />

The percentage of people who answer ‘‘yes’’ to either A or B (the percentage<br />

of people who answer ‘‘yes’’ to question A) times (the percentage of times that<br />

question A is asked) plus (the percentage of people who answered ‘‘yes’’ to question<br />

B) times (the percentage of times question B is asked).<br />

The only unknown <strong>in</strong> this equation is the percentage of people who<br />

answered ‘‘yes’’ to question A, the sensitive question. We know, from our data,<br />

the percentages of ‘‘yes’’ answers to either question. Suppose that 33% of all<br />

respondents said ‘‘yes’’ to someth<strong>in</strong>g. S<strong>in</strong>ce respondents answered question A<br />

only if they chose a number from 1 to 4, then A was answered 40% of the time<br />

and B was answered 60% of the time. Whenever B was answered, there was a<br />

50% chance of it be<strong>in</strong>g answered ‘‘yes’’ because that’s the chance of gett<strong>in</strong>g<br />

a heads on the toss of a fair co<strong>in</strong>. The problem now reads:<br />

.33 A(.40) .50(.60) or<br />

.33 .40A .30<br />

which means that A .075. That is, given the parameters specified <strong>in</strong> this<br />

experiment, if 33% of the sample says ‘‘yes’’ to either question, then about<br />

8% of the sample answered ‘‘yes’’ to question A.<br />

There are two problems associated with this technique. First, no matter<br />

what you say or do, some people will not believe that you can’t identify them<br />

and will therefore not tell the truth. Bradburn, Sudman et al. (1979) report that<br />

35% of known offenders would not admit to hav<strong>in</strong>g been convicted of drunken<br />

driv<strong>in</strong>g <strong>in</strong> a randomized response survey. Second, like all survey techniques,<br />

randomized response depends on large, representative samples. S<strong>in</strong>ce the technique<br />

is time consum<strong>in</strong>g to adm<strong>in</strong>ister, this makes gett<strong>in</strong>g large, representative<br />

samples difficult.<br />

Still, the evidence is mount<strong>in</strong>g that for some sensitive questions—Did you<br />

smoke dope <strong>in</strong> the last week? Have you ever bought a term paper? Have you<br />

stolen anyth<strong>in</strong>g from your employer?—when you want the truth, the randomized<br />

response method is worth the effort (see Scheers and Dayton [1987],<br />

Nordlund et al. [1994], and Clark and Desharnais [1998] for some examples).<br />

Every time I read <strong>in</strong> the newspaper that self-reported drug use among adolescents<br />

has dropped by such-and-such and amount s<strong>in</strong>ce whenever the last

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