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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 123<br />

conditions <strong>in</strong> the experiment. Then, the confound would disappear—not<br />

because land hold<strong>in</strong>g stops be<strong>in</strong>g a factor <strong>in</strong> how well women respond to the<br />

opportunity to get agricultural credits, but because women who have vary<strong>in</strong>g<br />

amounts of land would be equally likely to be <strong>in</strong> the treatment group or <strong>in</strong> the<br />

control group. Any bias that the amount of land causes <strong>in</strong> <strong>in</strong>terpret<strong>in</strong>g the<br />

results of the experiment would be distributed randomly and would be equally<br />

distributed across the groups.<br />

But people come packaged <strong>in</strong> villages, and you can’t give just some women<br />

<strong>in</strong> a small village <strong>in</strong>struction about apply<strong>in</strong>g for credit and not give it to others.<br />

So evaluation of these k<strong>in</strong>ds of <strong>in</strong>terventions are usually quasi-experiments<br />

because they have to be.<br />

The Posttest-Only Design with Random Assignment<br />

Look carefully at figure 5.1d. It is the second half of the Solomon fourgroup<br />

design and is called the Campbell and Stanley posttest-only design.<br />

Time 1 Time 2<br />

Assignment Pretest<br />

Intervention Posttest<br />

Group 1 R X O 1<br />

2<br />

Group 2<br />

R<br />

O<br />

Figure 5.1d. The Campbell and Stanley posttest-only design.<br />

This design has a lot go<strong>in</strong>g for it. It reta<strong>in</strong>s the random assignment of participants<br />

<strong>in</strong> the classical design and <strong>in</strong> the Solomon four-group design, but it elim<strong>in</strong>ates<br />

pretest<strong>in</strong>g—and the possibility of a confound from pretest sensitization.<br />

When participants are assigned randomly to experimental conditions (control<br />

or treatment group), a significant difference between O 1 and O 2 <strong>in</strong> the posttestonly<br />

design means that we can have a lot of confidence that the <strong>in</strong>tervention,<br />

X, caused that difference (Cook and Campbell 1979).<br />

Another advantage is the huge sav<strong>in</strong>g <strong>in</strong> time and money. There are no pretests<br />

<strong>in</strong> this design and there are only two posttests <strong>in</strong>stead of the four <strong>in</strong> the<br />

Solomon four-group design.<br />

Here’s an example of this elegant design. McDonald and Bridge (1991)<br />

asked 160 female nurses to read an <strong>in</strong>formation packet about a surgery patient<br />

whom they would be attend<strong>in</strong>g with<strong>in</strong> the next 8 hours. The nurses were<br />

assigned randomly to one of eight experimental conditions: (1) The patient<br />

was named Mary B. or Robert B. This produced two patient-gender condi-

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