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Russel-Research-Method-in-Anthropology

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622 Chapter 20<br />

TABLE 20.12<br />

Rank<strong>in</strong>g of Yuquí Hunters by Game Taken<br />

Name Kilos of meat Kilos of fish<br />

Alejandro 226.00 53.75<br />

Jaime 185.50 101.00<br />

Leonardo 152.50 8.50<br />

Humberto 144.75 120.50<br />

Daniel 78.00 119.50<br />

Joel 74.50 34.25<br />

Jorge 59.50 23.00<br />

Timoteo 51.00 1.50<br />

Tomás 51.00 123.80<br />

Lucas 46.00 107.50<br />

Guillermo 45.75 199.25<br />

Victor 29.50 38.25<br />

Manuel 14.50 28.50<br />

Benjam<strong>in</strong> 10.00 128.00<br />

Jonatán 0.00 198.00<br />

Lorenzo 0.00 279.00<br />

SOURCE: A. M. Stearman, ‘‘Yuquí Foragers <strong>in</strong> the Bolivian Amazon: Subsistence Strategies, Prestige and<br />

Leadership <strong>in</strong> an Acculturat<strong>in</strong>g Society,’’ Journal of Anthropological <strong>Research</strong>, Vol. 45, pp. 219–244. Reproduced<br />

by permission of the Journal of Anthropological <strong>Research</strong> 1989.<br />

and Jonatán are tied for last. We can use Spearman’s r to test the extent to<br />

which a hunter’s take of fish matches his take of meat. Just look<strong>in</strong>g at the data,<br />

we suspect the correlation is negative. That is, it appears that hunters who take<br />

a lot of meat are not focus<strong>in</strong>g on fish and vice versa. Here is the formula for<br />

Spearman’s r:<br />

r s 1 6 d 2<br />

n(n 2 1)<br />

Formula 20.18<br />

where d is the difference between the ranks on all pairs of objects. Table 20.13<br />

shows the computation of d 2 for the data on these hunters.<br />

For these hunters, at least, there is a moderate negative correlation between<br />

their success <strong>in</strong> hunt<strong>in</strong>g meat and their success <strong>in</strong> hunt<strong>in</strong>g fish.<br />

Pearson’s r<br />

Pearson’s r measures how much changes <strong>in</strong> one variable correspond with<br />

equivalent changes <strong>in</strong> the other variables. It can also be used as a measure of

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