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Russel-Research-Method-in-Anthropology

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<strong>Research</strong> Design: Experiments and Experimental Th<strong>in</strong>k<strong>in</strong>g 117<br />

ple who are victims of this treatment are more likely to have unstable marriages<br />

anyway, even if they never experience violence.<br />

Question: Do migrants to cities from villages <strong>in</strong> develop<strong>in</strong>g nations engage<br />

<strong>in</strong> more entrepreneurial activities than stay-at-homes? If we could assign rural<br />

people randomly to the treatment group (those engag<strong>in</strong>g <strong>in</strong> urban migration),<br />

we’d have a better chance of f<strong>in</strong>d<strong>in</strong>g out. But we can’t, so selection is a threat<br />

to the <strong>in</strong>ternal validity of the experiment. Suppose that the answer to the question<br />

at the top of this paragraph were ‘‘yes.’’ We still don’t know the direction<br />

of the causal arrow: Does the treatment (migration) cause the outcome (greater<br />

entrepreneurial activity)? Or does hav<strong>in</strong>g an entrepreneurial personality cause<br />

migration?<br />

6. Mortality<br />

The mortality confound refers to the fact that people may not complete<br />

their participation <strong>in</strong> an experiment. Suppose we follow two sets of Mexican<br />

villagers—some who receive irrigation and some who do not—for 5 years.<br />

Dur<strong>in</strong>g the 1st year of the experiment, we have 200 villagers <strong>in</strong> each group.<br />

By the 5th year, 170 rema<strong>in</strong> <strong>in</strong> the treatment group, and only 120 rema<strong>in</strong> <strong>in</strong><br />

the control group. One conclusion is that lack of irrigation caused those <strong>in</strong> the<br />

control group to leave their village at a faster rate than those <strong>in</strong> the treatment<br />

group.<br />

But what about those 30 people <strong>in</strong> the treatment group who left? It could<br />

be that they moved to another community where they acquired even more irrigated<br />

land, or they may have abandoned farm<strong>in</strong>g altogether to become labor<br />

migrants. These two outcomes would affect the results of the experiment quite<br />

differently. Mortality can be a serious problem <strong>in</strong> natural experiments if it gets<br />

to be a large fraction of the group(s) under study.<br />

Mortality also affects panel surveys. That’s where you <strong>in</strong>terview the same<br />

people more than once to track someth<strong>in</strong>g about their lives. We’ll talk more<br />

about those <strong>in</strong> chapter 10.<br />

7. Diffusion of Treatments<br />

The diffusion of treatments threat to validity occurs when a control group<br />

cannot be prevented from receiv<strong>in</strong>g the treatment <strong>in</strong> an experiment. This is<br />

particularly likely <strong>in</strong> quasi-experiments where the <strong>in</strong>dependent variable is an<br />

<strong>in</strong>formation program.<br />

In a project with which I was associated some time ago, a group of African<br />

Americans were given <strong>in</strong>struction on modify<strong>in</strong>g their diet and exercise behavior<br />

to lower their blood pressure. Another group was randomly assigned from

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