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Russel-Research-Method-in-Anthropology

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Structured Interview<strong>in</strong>g I: Questionnaires 297<br />

self-report survey was done, I th<strong>in</strong>k about how easy it is for those data to be<br />

utter nonsense. And I wonder why the randomized response technique isn’t<br />

more widely used.<br />

Dietary Recall<br />

Studies of diet and human nutrition mostly rely on <strong>in</strong>formants to recall what<br />

they’ve eaten over the last 24 hours or what they usually eat for various meals.<br />

These 24-hour recall tests, or dietary recall <strong>in</strong>terviews, are a specialized<br />

k<strong>in</strong>d of structured <strong>in</strong>terview. The problem is, they often produce dreadfully<br />

<strong>in</strong>accurate results.<br />

C. J. Smith et al. (1996) compared the responses of 575 Pima and Papago<br />

Indians (<strong>in</strong> Arizona) to a 24-hour recall <strong>in</strong>strument about food <strong>in</strong>take with<br />

responses to a very detailed survey called the Quantitative Food Frequency<br />

questionnaire. In the QFF, <strong>in</strong>terviewers probe for a list of regularly consumed<br />

foods <strong>in</strong> a community. Smith et al. also assessed the energy expenditure of 21<br />

people <strong>in</strong> the research group us<strong>in</strong>g the doubly labeled water technique. The<br />

DLW technique <strong>in</strong>volves giv<strong>in</strong>g people special water to dr<strong>in</strong>k—water with isotopes<br />

that can be tracked <strong>in</strong> blood and ur<strong>in</strong>e samples—and then test<strong>in</strong>g, over<br />

time, their actual <strong>in</strong>take of nutrients.<br />

The correlation, across the 21 participants, between the energy <strong>in</strong>take measured<br />

by the DLW technique and the energy <strong>in</strong>take estimated by the <strong>in</strong>formants’<br />

responses to the QFF, was 0.48. This correlation is statistically significant,<br />

but it means that just 23% (0.48 2 ) of the variation <strong>in</strong> actual energy <strong>in</strong>take<br />

across the 21 people was accounted for by their responses to a very detailed<br />

<strong>in</strong>terview about their food consumption. And the correlation of actual energy<br />

<strong>in</strong>take with estimates from the 24-hour recall data was much worse.<br />

Johnson et al. (1996) also found no useful relation between <strong>in</strong>dividual 24-<br />

hour recall measurements of energy <strong>in</strong>take among children <strong>in</strong> Vermont and<br />

measurements of those same children by the DLW technique. But, <strong>in</strong> the allis-not-lost<br />

department, Johnson et al. found that averag<strong>in</strong>g the data for energy<br />

<strong>in</strong>take across three 24-hour recalls <strong>in</strong> 14 days (on day 1, day 8, and day 14)<br />

produced results that were very similar to those produced by the DLW technique.<br />

So, people hover around giv<strong>in</strong>g accurate answers to a question about<br />

calorie <strong>in</strong>take and if you get at least three answers, for three time w<strong>in</strong>dows,<br />

and take the average, you may get a useful result. (For more methods <strong>in</strong> nutritional<br />

anthropology, see Quandt and Ritenbaugh 1986 and Pelto et al. 1989.<br />

For more on measur<strong>in</strong>g food <strong>in</strong>take, see Chapman et al. 1997, Schoenberg<br />

1997, 2000, Melnik et al. 1998, and Graham 2003.)

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