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The Context of HIV Risk Among Drug Users and Their Sexual Partners

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TECHNICAL ISSUES<br />

Technical issues include those factors that affect the validity<br />

(predictiveness) <strong>and</strong> reliability (consistency/generalizability) <strong>of</strong> research<br />

findings. Quite obviously these issues have statistical as well as<br />

procedural implications, <strong>and</strong> in some cases their classification here is<br />

moot. Placing what is measured <strong>and</strong> how it is measured in context<br />

requires that new methods be improvised or old methods be adapted or<br />

readapted, always with a mind to preserving (not merely measuring)<br />

reliability <strong>and</strong> validity.<br />

<strong>The</strong> need to study <strong>HIV</strong> in the social contexts within which individuals are<br />

embedded requires a wedding or merger between ethnographic <strong>and</strong><br />

quantitative statistical methods. In survey research in the “good old<br />

days,” this combined approach was pro forma during the exploratory or<br />

pilot stage in developing the larger survey. Site observation <strong>and</strong><br />

unstructured interviews were conducted to determine appropriate content,<br />

wording, <strong>and</strong> sequence <strong>of</strong> the final survey items. A beneficial byproduct<br />

<strong>of</strong> integrating these types <strong>of</strong> procedures in the early stages <strong>of</strong> research<br />

was the investigator’s increased involvement in, <strong>and</strong> knowledge <strong>of</strong>, data<br />

collection. Recent trends in computerization <strong>and</strong> specialization have led<br />

to increased separation <strong>of</strong> data analysis from knowledge <strong>of</strong> how the data<br />

were collected <strong>and</strong> from the raw data. <strong>The</strong> author speculates that this<br />

separation has led at times to acceptance <strong>of</strong> erroneous results <strong>and</strong><br />

misinterpretation <strong>of</strong> findings-severely limiting both their validity <strong>and</strong><br />

reliability, Cronbach’s alpha notwithst<strong>and</strong>ing (Nunnally 1978).<br />

An example <strong>of</strong> a simple technique that demonstrates the ethnographicquantitative<br />

merger is use <strong>of</strong> open-ended questions in developing<br />

quantitative surveys. With such questions, categories are built up from<br />

the responses. <strong>The</strong>se categories can then be quantified. A case in point<br />

from the author’s research concerns data collected beginning in 1975 in<br />

reply to the simple question, “How have things been going for you?”<br />

(very well/pretty well/so-so, etc.), followed by “How do you mean?”<br />

Replies led to the development <strong>of</strong> a catastrophe scale, akin to what, in the<br />

literature now, is usually referred to as a life events scale. Since then, the<br />

author has used the scale in closed-end form as a measure <strong>of</strong> stress<br />

(Brunswick et al. 1992). In the fifth round <strong>of</strong> study, now in the field, the<br />

open-ended followup is being used again to identify new events <strong>and</strong><br />

circumstances wrought over time in the lives <strong>of</strong> an inner-city African-<br />

American cohort. <strong>The</strong> categories <strong>of</strong> reply comprise a population<br />

192

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