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Russel-Research-Method-in-Anthropology

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Prepar<strong>in</strong>g for <strong>Research</strong> 95<br />

dent. (Refer to chapter 2 for a discussion of causality, spurious relations, and<br />

antecedent variables.)<br />

And keep <strong>in</strong> m<strong>in</strong>d that many of the examples <strong>in</strong> the list above are statements<br />

about possible bivariate correlations—that is, about possible covariation<br />

between two th<strong>in</strong>gs. Social phenomena be<strong>in</strong>g the complex sorts of th<strong>in</strong>gs they<br />

are, a lot of research <strong>in</strong>volves multivariate relations—that is, covariation<br />

among three or more th<strong>in</strong>gs at the same time.<br />

For example, it’s well known that people who call themselves religious conservatives<br />

<strong>in</strong> the United States are likely to support the National Rifle Association’s<br />

policy on gun control (Cell I). But the association between the two variables<br />

(religious beliefs and attitudes toward gun control) is by no means<br />

perfect and is affected by many <strong>in</strong>terven<strong>in</strong>g variables.<br />

I’ll tell you about test<strong>in</strong>g for bivariate relations <strong>in</strong> chapter 20 and about test<strong>in</strong>g<br />

for multivariate relations <strong>in</strong> chapter 21. As <strong>in</strong> so many other th<strong>in</strong>gs, you<br />

crawl before you run and you run before you fly.

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