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222    CHAPTER 8  Interviews and focus groups





                           INTERVIEW ANALYSIS FOR NOVICES
                           Interview analysis can be somewhat intimidating. If you're feeling that you're in
                           a bit over your head, don't panic. Although some analyses might best be done
                           by an experienced collaborator, you don't need an advanced degree in the social
                           sciences to get a basic understanding of interview data.
                             In school, many people have been taught to write notes on index cards—one
                           idea per card—which can then be sorted and arranged as necessary. You can
                           break responses to interview questions into individual thoughts or ideas, one per
                           index card or one per line in a text document. Group lines with common ideas
                           but don't restrict yourself to putting any idea into only one category. Feel free to
                           place thoughts in multiple groups, as appropriate.
                             You might consider assigning categories to comments as they appear in the
                           transcript. This can be done by annotating each line with a colored piece of text
                           that names the category. Once you've done this, you can quickly search to find
                           out all of the instances of a particular category. As the categories begin to grow,
                           you may see connections between them. You can then put these categories into
                           broader categories, forming a hierarchy of ideas.
                             How do you categorize each comment or concept? One approach would be
                           to group things by the content words—nouns or verbs. You can use these words
                           to understand the objects with which people work and the actions that they
                           use with those objects. Organizing comments along these lines can help you
                           understand the outlines of the problem domain.
                             As you dig through the interviews, you may begin to find relationships,
                           information flows, sequences, or other patterns that repeatedly arise out of
                           the comments. Pictures, sketches, outlines, or other representations of these
                           interactions can help clarify your understanding.
                             Focus groups introduce the additional challenge of differing viewpoints. You
                           might consider grouping comments by individual or by the individual's role. This
                           might help you understand potentially important differences in perspectives.
                             In any case, if you are concerned about validity, enlist a colleague to
                           work with you. You might each independently analyze the data and then
                           compare your results, in the hopes of working towards a consensus analysis.
                           Alternatively, you might work together, building agreement as you go along.
                             This informal analysis shares many characteristics with more rigorous established
                           practices such as content analysis or discourse analysis. These approaches may differ
                           in their level of attention to detail and their conformance to established practices
                           but the goal is always the same: to help researchers move from an unordered and
                           undifferentiated mess of interview data to a clear, structured understanding.
                             Informal techniques are often sufficient. If you are trying to build an initial
                           understanding of a problem, gauge reaction to design proposals, or examine a
                           problem without aspiring for generality and validity, this approach can be very
                           productive. If you find that you need to add some rigor, you can always return
                           to the data for a second, more rigorous analysis, perhaps with the help of a
                           colleague with relevant experience.
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