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Russel-Research-Method-in-Anthropology

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286 Chapter 10<br />

they sent out questionnaires to a national sample of 1,310 and got back 765,<br />

or 58%. Not bad for a first pass, s<strong>in</strong>ce you can generally expect about 25% to<br />

30% from the first wave.<br />

Unfortunately, for lack of time and money, Thurman et al. couldn’t follow<br />

through with all the extra mail<strong>in</strong>gs. Of the 765 respondents, 237 said they<br />

were nondr<strong>in</strong>kers. This left 525 eligible questionnaires for analysis.<br />

Of the 525 respondents who said they were consumers of alcohol, 133<br />

admitted driv<strong>in</strong>g while drunk <strong>in</strong> the past year. Those 133 respondents provided<br />

data of <strong>in</strong>tr<strong>in</strong>sic <strong>in</strong>terest, but the 765 people who responded from the<br />

nationally representative sample of 1,310 may be a biased sample on which to<br />

base any generalizations. I say ‘‘may be’’ a biased sample because there is no<br />

way to tell. And that’s the problem.<br />

The bottom l<strong>in</strong>e: The last <strong>in</strong>terview you get <strong>in</strong> any survey—whether you’re<br />

send<strong>in</strong>g out questionnaires, do<strong>in</strong>g a phone survey, or contact<strong>in</strong>g respondents<br />

for face-to-face <strong>in</strong>terviews—is always the most costly and it’s almost always<br />

worth it. If you really care about representative data, you won’t th<strong>in</strong>k of all<br />

the chas<strong>in</strong>g around you have to do for the last <strong>in</strong>terviews <strong>in</strong> a set as a nuisance<br />

but as a necessary expense of data collection. And you’ll prepare for it <strong>in</strong><br />

advance by establish<strong>in</strong>g a realistic budget of both time and money. (For recent<br />

examples of mailed surveys us<strong>in</strong>g the TDM, see Gore-Felton et al. [2002] and<br />

Filip et al. [2004].)<br />

Pretest<strong>in</strong>g and Learn<strong>in</strong>g from Mistakes<br />

There is no way to emphasize sufficiently the importance of pretest<strong>in</strong>g any<br />

survey <strong>in</strong>strument. No matter how much you do to prepare a culturally appropriate<br />

questionnaire, it is absolutely guaranteed that you will have forgotten<br />

someth<strong>in</strong>g important or that you will have poorly worded one or more vital<br />

elements. These glitches can only be identified by pretest<strong>in</strong>g.<br />

If you are build<strong>in</strong>g a self-adm<strong>in</strong>istered questionnaire, br<strong>in</strong>g <strong>in</strong> at least 6 to<br />

10 pretest respondents and sit with them as they fill out the entire <strong>in</strong>strument.<br />

Encourage them to ask questions about each item. Your pretest respondents<br />

will make you pa<strong>in</strong>fully aware of just how much you took for granted, no<br />

matter how much ethnographic research you did or how many focus groups<br />

you ran before mak<strong>in</strong>g up a questionnaire.<br />

For face-to-face <strong>in</strong>terviews, do your pretest<strong>in</strong>g under the conditions you<br />

will experience when the survey is underway for real. If respondents are go<strong>in</strong>g<br />

to come to your office, then pretest the <strong>in</strong>strument <strong>in</strong> your office. If you are<br />

go<strong>in</strong>g to respondents’ homes, then go to their homes for the pretest.<br />

Use the th<strong>in</strong>kaloud method (also called cognitive test<strong>in</strong>g) on at least a few

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