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Russel-Research-Method-in-Anthropology

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500 Chapter 17<br />

TABLE 17.4<br />

Part of the Data Matrix from Nyamongo’s Analysis of 35 Gusii Texts<br />

Person Age Sex Occupation SES . . . CTRL1 . . . CAUSE1 . . . HELP1 . . . WITCH . . .<br />

1 48 M retired worker 2 1 1 0 0<br />

2 58 M farmer 1 0 1 0 1<br />

3 68 M clan elder 1 1 1 0 1<br />

. . . . . . .<br />

. . . . . . .<br />

. . . . . . .<br />

33 54 F teacher 2 1 1 0 0<br />

34 57 F artisan 2 0 0 0 0<br />

35 26 F housewife 1 1 1 0 1<br />

notes describe the concepts that are be<strong>in</strong>g discovered <strong>in</strong> ‘‘the discovery of<br />

grounded theory.’’ In theory notes, you try to summarize your ideas about<br />

what’s go<strong>in</strong>g on <strong>in</strong> the text. Operational notes are about practical matters.<br />

Once a model starts to take shape, start shopp<strong>in</strong>g for negative cases—ones<br />

that don’t fit the pattern. Suppose you comb through a set of narratives from<br />

women <strong>in</strong> the labor market. Some women say that they got upset with their<br />

last job and quit. You f<strong>in</strong>d that most of the women who did this have husbands<br />

who earn a pretty good liv<strong>in</strong>g. Now you have a take-this-job-and-shove-it category.<br />

Is there a case <strong>in</strong> which a woman says ‘‘You know, I’d be outta this<br />

crummy job <strong>in</strong> a m<strong>in</strong>ute if I didn’t have two kids at home to take care of’’?<br />

Don’t wait for that case to come to you. Go look<strong>in</strong>g for it.<br />

Negative cases either disconfirm parts of a model or suggest new connections<br />

that need to be made. In either case, negative cases need to be accommodated<br />

when you present your results. (Negative case analysis is discussed <strong>in</strong><br />

detail by Becker et al. 1961:37–45, Strauss and Corb<strong>in</strong> 1990:108–109, L<strong>in</strong>coln<br />

and Guba 1985:309–313, Dey 1993:226–233, and Miles and Huberman<br />

1994:271.)<br />

Display<strong>in</strong>g Concepts and Models<br />

So, how do you actually build those models and what do they really look<br />

like? Here’s a step-by-step example.<br />

Margaret Kearney and her colleagues (Kearney et al. 1995) <strong>in</strong>terviewed 60<br />

women who reported us<strong>in</strong>g crack coca<strong>in</strong>e an average of at least once weekly<br />

dur<strong>in</strong>g pregnancy. The semistructured <strong>in</strong>terviews lasted from 1 to 3 hours and<br />

covered childhood, relationships, life context, previous pregnancies, and<br />

actions dur<strong>in</strong>g the current pregnancy related to drug use, prenatal care, and<br />

self-care. Kearney et al. coded and analyzed the transcripts as they went. As

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