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Russel-Research-Method-in-Anthropology

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The Foundations of Social <strong>Research</strong> 61<br />

certa<strong>in</strong> that variation <strong>in</strong> one th<strong>in</strong>g causes variation <strong>in</strong> another. Still, if measurements<br />

of two variables are valid, you can be reasonably confident that one<br />

variable causes another if four conditions are met.<br />

1. The two variables covary—that is, as scores for one variable <strong>in</strong>crease or<br />

decrease, scores for the other variable <strong>in</strong>crease or decrease as well.<br />

2. The covariation between the two variables is not spurious.<br />

3. There is a logical time order to the variables. The presumed causal variable must<br />

always precede the other <strong>in</strong> time.<br />

4. A mechanism is available that expla<strong>in</strong>s how an <strong>in</strong>dependent variable causes a<br />

dependent variable. There must, <strong>in</strong> other words, be a theory.<br />

Condition 1: Covariation<br />

When two variables are related they are said to covary. Covariation is also<br />

called correlation or, simply, association.<br />

Association is a necessary but <strong>in</strong>sufficient condition for claim<strong>in</strong>g a causal<br />

relation between two variables. Whatever else is needed to establish cause and<br />

effect, you can’t claim that one th<strong>in</strong>g causes another if they aren’t related <strong>in</strong><br />

the first place.<br />

Here are a few <strong>in</strong>terest<strong>in</strong>g covariations:<br />

1. Sexual freedom for women tends to <strong>in</strong>crease with the amount that women contribute<br />

to subsistence (Schlegel and Barry 1986).<br />

2. Ground-floor, corner apartments occupied by students at big universities have a<br />

much higher chance of be<strong>in</strong>g burglarized than other units <strong>in</strong> the same apartment<br />

bloc (Rob<strong>in</strong>son and Rob<strong>in</strong>son 1997).<br />

3. When married men and women are both employed full-time, they spend the same<br />

amount of time <strong>in</strong> the various rooms of their house—except for the kitchen<br />

(Ahrentzen et al. 1989).<br />

You might th<strong>in</strong>k that <strong>in</strong> order to establish cause, <strong>in</strong>dependent variables<br />

would have to be strongly related to the dependent variable. Not always. People<br />

all over the world make decisions about whether or not to use (or demand<br />

the use of) a condom as a part of sexual relations. These decisions are based<br />

on many factors, all of which may be weakly, but causally related to the ultimate<br />

decision. These factors <strong>in</strong>clude: the education level of one or both partners;<br />

the level of <strong>in</strong>come of one or both partners; the availability and cost of<br />

condoms; the amount of time that partners have been together; the amount of<br />

previous sexual experience of one or both partners; whether either or both<br />

partners know anyone personally who has died of AIDS; and so on.<br />

Each <strong>in</strong>dependent variable may contribute only a little to the outcome of

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