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Russel-Research-Method-in-Anthropology

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16<br />

◆<br />

Introduction to Qualitative and<br />

Quantitative Analysis<br />

This is the first of six chapters about analyz<strong>in</strong>g data. In this chapter, we<br />

beg<strong>in</strong> with the basics—what analysis is; how to store and manage data;<br />

and how to use matrices, tables, and flow charts to present the results of data<br />

analysis. Then we move on, <strong>in</strong> chapters 17 and 18 to methods for analyz<strong>in</strong>g<br />

qualitative data, and <strong>in</strong> chapters 19, 20, and 21 to methods for analyz<strong>in</strong>g quantitative<br />

data.<br />

Qualitative, Quantitative<br />

By a quirk of English grammar, the phrase ‘‘qualitative data analysis’’ is<br />

delightfully ambiguous. Unless someone spells it out <strong>in</strong> lots of words, you<br />

never know if the phrase means ‘‘the qualitative analysis of data’’ or the ‘‘analysis<br />

of qualitative data.’’ And, of course, the same goes for ‘‘quantitative data<br />

analysis.’’ Table 16.1 lays out the possibilities.<br />

Cell a is the qualitative analysis of qualitative data. Interpretive studies of<br />

texts are of this k<strong>in</strong>d. You focus on and name themes <strong>in</strong> texts. You tell the<br />

story, as you see it, of how the themes are related to one another and how<br />

characteristics of the speaker or speakers account for the existence of certa<strong>in</strong><br />

themes and the absence of others. You may deconstruct the text, look for hidden<br />

subtexts, and, <strong>in</strong> general, try to let your audience know—us<strong>in</strong>g the power<br />

of good rhetoric—the deeper mean<strong>in</strong>g or the multiple mean<strong>in</strong>gs of the text.<br />

Look<strong>in</strong>g diagonally from cell a, cell d refers to numerical or statistical analysis<br />

of numerical data. Lots of useful data about human behavior come to us<br />

451

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