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Russel-Research-Method-in-Anthropology

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The Foundations of Social <strong>Research</strong> 63<br />

Beg people to f<strong>in</strong>d potentially spurious relations <strong>in</strong> your work. You’ll thank<br />

them for it if they do.<br />

Condition 3: Precedence, or Time Order<br />

Besides a nonspurious association, someth<strong>in</strong>g else is required to establish a<br />

cause-and-effect relation between two variables: a logical time order. Firefighters<br />

don’t cause fires—they show up after the blaze starts. African Americans<br />

have higher blood pressure, on average, than Whites do, but high blood<br />

pressure does not cause people to be African American.<br />

Unfortunately, th<strong>in</strong>gs are not always clear-cut. Does adoption of new technologies<br />

cause wealth, or is it the other way around? Does urban migration<br />

cause dissatisfaction with rural life, or the reverse? Does consumer demand<br />

cause new products to appear, or vice versa? Does the growth <strong>in</strong> the number<br />

of lawsuits cause more people to study law so that they can cash <strong>in</strong>, or does<br />

overproduction of lawyers cause more lawsuits?<br />

What about the <strong>in</strong>crease <strong>in</strong> elective surgery <strong>in</strong> the United States? Does the<br />

<strong>in</strong>creased supply of surgeons cause an <strong>in</strong>crease <strong>in</strong> elective surgery, or does the<br />

demand for surgery create a surfeit of surgeons? Or are both caused by external<br />

variables, like an <strong>in</strong>crease <strong>in</strong> discretionary <strong>in</strong>come <strong>in</strong> the upper middle<br />

class, or the fact that <strong>in</strong>surance companies pay more and more of Americans’<br />

medical bills?<br />

Figure 2.4 shows three k<strong>in</strong>ds of time order between two variables. Read<br />

figure 2.4(a) as ‘‘a is antecedent to b.’’ Read figure 2.4(b) as ‘‘a and b are<br />

antecedent to c.’’ And read figure 2.4(c) as ‘‘a is antecedent to b, which is an<br />

<strong>in</strong>terven<strong>in</strong>g variable antecedent to c.’’ A lot of data analysis is about understand<strong>in</strong>g<br />

and controll<strong>in</strong>g for antecedent and <strong>in</strong>terven<strong>in</strong>g variables—about<br />

which much more <strong>in</strong> chapter 20.<br />

A<br />

B<br />

A<br />

B<br />

C A B C<br />

a. b. c.<br />

Figure 2.4. Time order between two or three variables.<br />

Condition 4: Theory<br />

F<strong>in</strong>ally, even when you have established nonspurious, consistent, strong<br />

covariation, as well as a logical time sequence for two or more variables, you

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