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Russel-Research-Method-in-Anthropology

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114 Chapter 5<br />

K<strong>in</strong>ds of Confounds: Threats to Validity<br />

It’s po<strong>in</strong>tless to ask questions about external validity until you establish<br />

<strong>in</strong>ternal validity. In a series of <strong>in</strong>fluential publications, Donald Campbell and<br />

his colleagues identified the threats to <strong>in</strong>ternal validity of experiments (see<br />

Campbell 1957, 1979; Campbell and Stanley 1966; Cook and Campbell<br />

1979). Here are seven of the most important confounds:<br />

1. History<br />

The history confound refers to any <strong>in</strong>dependent variable, other than the<br />

treatment, that (1) occurs between the pretest and the posttest <strong>in</strong> an experiment<br />

and (2) affects the experimental groups differently. Suppose you are do<strong>in</strong>g a<br />

laboratory experiment, with two groups (experimental and control) and there<br />

is a power failure <strong>in</strong> the build<strong>in</strong>g. So long as the lights go out for both groups,<br />

there is no problem. But if the lights go out for one group and not the other,<br />

it’s difficult to tell whether it was the treatment or the power failure that causes<br />

changes <strong>in</strong> the dependent variable.<br />

In a laboratory experiment, history is controlled by isolat<strong>in</strong>g participants as<br />

much as possible from outside <strong>in</strong>fluences. When we do experiments outside<br />

the laboratory, it is almost impossible to keep new <strong>in</strong>dependent variables from<br />

creep<strong>in</strong>g <strong>in</strong> and confound<strong>in</strong>g th<strong>in</strong>gs.<br />

Here’s an example of an experiment outside the lab. Suppose you run an<br />

experiment to test whether monetary <strong>in</strong>centives help third graders do better <strong>in</strong><br />

arithmetic. Kids <strong>in</strong> the treatment classes get a penny for each right answer on<br />

their tests; kids <strong>in</strong> the control classes get noth<strong>in</strong>g. Now, right <strong>in</strong> the middle of<br />

the school term, while you’re runn<strong>in</strong>g this experiment, the Governor’s Task<br />

Force on Education issues its long-awaited report, with a recommendation that<br />

arithmetic skills be emphasized dur<strong>in</strong>g the early school years. Furthermore, it<br />

says, teachers whose classes make exceptional progress <strong>in</strong> this area should be<br />

rewarded with 10% salary bonuses.<br />

The governor accepts the recommendation and announces a request for a<br />

special legislative appropriation. Elementary teachers all over the state start<br />

pay<strong>in</strong>g extra attention to arithmetic skills. Even suppos<strong>in</strong>g that the students <strong>in</strong><br />

the treatment classes do better than those <strong>in</strong> the control classes <strong>in</strong> your experiment,<br />

we can’t tell if the magnitude of the difference would have been greater<br />

had this historical confound not occurred. That’s just the breaks of experiment<strong>in</strong>g<br />

<strong>in</strong> real life without be<strong>in</strong>g able to control everyth<strong>in</strong>g.<br />

2. Maturation<br />

The maturation confound refers to the fact that people <strong>in</strong> any experiment<br />

grow older or get more experienced while you are try<strong>in</strong>g to conduct an experi-

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