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Qualitative Data Analysis II: Models and Matrices 529<br />

TABLE 18.2<br />

Young and Garro’s Decision Table Show<strong>in</strong>g How Pichatareños Choose a <strong>Method</strong> of<br />

Treat<strong>in</strong>g an Illness When Their First Choice Doesn’t Work<br />

Rules: 1 2 3 4 5 6 7 8 9 10 11<br />

Conditions<br />

preced<strong>in</strong>g choice a ST ST ST ST C-P C-P C P Dr Dr Dr<br />

current gravity b 1–2 3 3 1 2–3 2–3 2–3<br />

faith c F M M (M) M<br />

accessibility d N Y Y N N N Y<br />

Choices<br />

self-treatment<br />

X<br />

curer X X X X<br />

practicante X X X<br />

physician X X X<br />

a. ST self-treatment, C curer, P practicante, Dr physician<br />

b. 1 nonserious, 2 moderately serious, 3 grave<br />

c. F favors folk treatment, M favors medical treatment<br />

d. Y money and transportation available, N either money or transportation not currently available<br />

SOURCE: Repr<strong>in</strong>ted by permission of Waveland Press, Inc., from J. C. Young and L. C. Garro, Medical Choice<br />

<strong>in</strong> a Mexican Village, 1981 (reissued 1994), p. 154. All rights reserved.<br />

physicians are commonly thought not to be effective, apply rule number 7 and<br />

go to a curer. The blank spaces <strong>in</strong> the top part of table 18.1 <strong>in</strong>dicate irrelevant<br />

conditions. In rule number 1, for example, there is no question about accessibility<br />

for home remedies because they cost little or noth<strong>in</strong>g and everyone has<br />

access to them.<br />

Sometimes the treatment selected for an illness doesn’t work and another<br />

decision has to be made. Table 18.2, with 11 decision rules, shows Young and<br />

Garro’s analysis of this second stage of decision mak<strong>in</strong>g. Their entire twostage<br />

model is based on their sense of emerg<strong>in</strong>g patterns <strong>in</strong> the data they collected<br />

about decision mak<strong>in</strong>g. The question, of course, is: Does it work?<br />

Young and Garro tested their model aga<strong>in</strong>st 444 treatment choices gathered<br />

from 62 households over a 6-month period. To make the test fair, none of the<br />

<strong>in</strong>formants <strong>in</strong> the test were among those whose data were used <strong>in</strong> develop<strong>in</strong>g<br />

the model. Table 18.3 shows the results of the test. There were 157 cases covered<br />

by rule number 1 from table 18.1 (first-stage decision), and <strong>in</strong> every s<strong>in</strong>gle<br />

case <strong>in</strong>formants did what the rule predicted. In table 18.3, errors (<strong>in</strong>formants’<br />

choices that are not predicted by the model) are <strong>in</strong> parentheses, so<br />

<strong>in</strong>formants did what rule number 6 predicted 20 out of 29 times.<br />

Overall, for the first stage, Young and Garro’s decision rules predict about<br />

94% of <strong>in</strong>formants’ reported behavior. After remov<strong>in</strong>g the cases covered by

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