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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 145<br />

the amount of pa<strong>in</strong> they had and a direct measure of the amount of pa<strong>in</strong> medication<br />

they took. All the patients had access to a device that let them adm<strong>in</strong>ister<br />

more or less of the analgesics that are used for controll<strong>in</strong>g pa<strong>in</strong> after orthopedic<br />

surgery.<br />

In assess<strong>in</strong>g the results of a factorial experiment, researchers look for ma<strong>in</strong><br />

effects and <strong>in</strong>teraction effects. Ma<strong>in</strong> effects are the effects of each <strong>in</strong>dependent<br />

variable on each dependent variable. Interaction effects are effects on<br />

dependent variables that occur as a result of <strong>in</strong>teraction between two or more<br />

<strong>in</strong>dependent variables. In this case, Rotton and Shats wanted to know the<br />

effects of humor on postoperative pa<strong>in</strong>, but they wanted to know the effect <strong>in</strong><br />

different contexts: <strong>in</strong> the context of choos<strong>in</strong>g the vehicle of humor or not; <strong>in</strong><br />

the context of be<strong>in</strong>g led to believe that humor has heal<strong>in</strong>g benefits or not; and<br />

so on.<br />

As it turned out, be<strong>in</strong>g able to choose their own movie had no effect when<br />

patients saw action films. But patients who saw humorous films and who had<br />

not been able to make their own choice of film gave themselves more pa<strong>in</strong><br />

killer than did patients who saw humorous films and had been able to make<br />

the selection themselves (Rotton and Shats 1996).<br />

We’ll look at how to measure these effects when we take up ANOVA, or<br />

analysis of variance, <strong>in</strong> chapter 20.

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