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Russel-Research-Method-in-Anthropology

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110 Chapter 5<br />

Experiments<br />

There are two ways to categorize experiments. First, <strong>in</strong> true experiments,<br />

participants are assigned randomly, to either a treatment group or a control<br />

group, while <strong>in</strong> quasi-experiments, participants are selected rather than<br />

assigned. (By the way, I prefer ‘‘participants’’ to ‘‘subjects’’ when we’re talk<strong>in</strong>g<br />

about people who take part <strong>in</strong> experiments.)<br />

Second, <strong>in</strong> laboratory experiments you have the luxury of controll<strong>in</strong>g<br />

variables, while <strong>in</strong> field experiments you get far greater realism. The logic of<br />

experiments is the same no matter where they’re done. There are, of course,<br />

differences <strong>in</strong> experiments with people vs. experiments with rocks or pigeons<br />

or plants. But these differences <strong>in</strong>volve ethical issues—like deception,<br />

<strong>in</strong>formed consent, and withhold<strong>in</strong>g of treatment—not logic. More on these<br />

ethical issues later.<br />

True Experiments<br />

There are five steps <strong>in</strong> a classic experiment:<br />

1. Formulate a hypothesis.<br />

2. Randomly assign participants to the <strong>in</strong>tervention group or to the control group.<br />

3. Measure the dependent variable(s) <strong>in</strong> one or both groups. This is called O 1 or<br />

‘‘observation at time 1.’’<br />

4. Introduce the treatment or <strong>in</strong>tervention.<br />

5. Measure the dependent variable(s) aga<strong>in</strong>. This is called O 2 or ‘‘observation at<br />

time 2.’’<br />

Later, I’ll walk you through some variations on this five-step formula,<br />

<strong>in</strong>clud<strong>in</strong>g one very important variation that does not <strong>in</strong>volve Step 3 at all. But<br />

first, the basics.<br />

Step 1.<br />

Before you can do an experiment, you need a clear hypothesis about the<br />

relation between some <strong>in</strong>dependent variable (or variables) and some dependent<br />

variable (or variables). Experiments thus tend to be based on confirmatory<br />

rather than exploratory research questions.<br />

The test<strong>in</strong>g of new drugs can be a simple case of one <strong>in</strong>dependent and one<br />

dependent variable. The <strong>in</strong>dependent variable might be, say, ‘‘tak<strong>in</strong>g vs. not<br />

tak<strong>in</strong>g’’ a drug. The dependent variable might be ‘‘gett<strong>in</strong>g better vs. not gett<strong>in</strong>g<br />

better.’’ The <strong>in</strong>dependent and dependent variables can be much more subtle.<br />

‘‘Tak<strong>in</strong>g vs. not tak<strong>in</strong>g’’ a drug might be ‘‘tak<strong>in</strong>g more of, or less of’’ a drug,

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