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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 143<br />

first condition, when they thought the crime was for a government agency and<br />

that they’d be free of danger from prosecution if caught. What do you suppose<br />

would happen to your sense of self-worth when you were f<strong>in</strong>ally debriefed and<br />

told that you were one of the 36 out of 80 (45%) who agreed to participate <strong>in</strong><br />

the burglary <strong>in</strong> the first condition? (See Cook [1975] for a critical comment<br />

on the ethics of this experiment.)<br />

The key ethical issue <strong>in</strong> the conduct of all social research is whether those<br />

be<strong>in</strong>g studied are placed at risk by those do<strong>in</strong>g the study<strong>in</strong>g. This goes for field<br />

research—<strong>in</strong>clud<strong>in</strong>g surveys, ethnographies, and naturalistic experiments—as<br />

much as it does for laboratory studies. All universities <strong>in</strong> the United States<br />

have long had Institutional Review Boards, or IRBs. These are <strong>in</strong>ternal agencies<br />

whose members review and pass judgment on the ethical issues associated<br />

with all research on people, <strong>in</strong>clud<strong>in</strong>g biomedical and psychosocial. The<br />

concept of <strong>in</strong>formed consent has developed and matured over the years. All<br />

researchers are asked by the IRBs to describe clearly and precisely what steps<br />

will be taken to ensure that people who participate <strong>in</strong> research will be protected<br />

from harm. And not just physical harm. <strong>Research</strong> participants should<br />

not experience emotional harm or f<strong>in</strong>ancial harm, either.<br />

Factorial Designs: Ma<strong>in</strong> Effects and Interaction Effects<br />

Most experiments <strong>in</strong>volve analyz<strong>in</strong>g the effects of several <strong>in</strong>dependent variables<br />

at once. A factorial design lays out all the comb<strong>in</strong>ations of all the categories<br />

of the <strong>in</strong>dependent variables. That way you know how many participants<br />

you need, how many to assign to each condition, and how to run the<br />

analysis when the data are <strong>in</strong>.<br />

It is widely believed that a good laugh has heal<strong>in</strong>g power. Rotton and Shats<br />

(1996) developed an experimental design to test this. They recruited 39 men<br />

and 39 women who were scheduled for orthopedic surgery. The patients were<br />

assigned randomly to one of n<strong>in</strong>e groups—eight experimental groups and one<br />

control group. The patients <strong>in</strong> the eight treatment groups got to watch a movie<br />

<strong>in</strong> their room the day after their surgery.<br />

There were three variables: choice, humor, and expectancy. The participants<br />

<strong>in</strong> the high-choice group got a list of 20 movies from which they chose<br />

four. The participants <strong>in</strong> the low-choice group watched a movie that one of the<br />

people <strong>in</strong> the high-choice group had selected. Half the participants watched<br />

humorous movies, and half watched action or adventure movies. Before<br />

watch<strong>in</strong>g their movie, half the participants read an article about the benefits<br />

of humor, while half read an article about the healthful benefits of excit<strong>in</strong>g<br />

movies.

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