Qualitative Research in Practice : Stories From the Field - Blogs Unpad
Qualitative Research in Practice : Stories From the Field - Blogs Unpad
Qualitative Research in Practice : Stories From the Field - Blogs Unpad
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<strong>From</strong> practice to research<br />
consumer feedback may require a comb<strong>in</strong>ation of questionnaire<br />
items with predeterm<strong>in</strong>ed response categories as well as a number<br />
of open-ended questions such as ‘How did you expect to benefit<br />
from this service?’, ‘What were <strong>the</strong> most useful/least useful aspects<br />
of <strong>the</strong> service?’ and ‘What suggestions could you make for<br />
improv<strong>in</strong>g <strong>the</strong> service?’<br />
The latter type of question does not presuppose a particular<br />
classification of responses, and <strong>in</strong> analys<strong>in</strong>g such data <strong>the</strong> researcher<br />
has to <strong>in</strong>ductively derive categories from <strong>the</strong> <strong>in</strong>dividual responses.<br />
This <strong>in</strong>volves mak<strong>in</strong>g qualitative judgements about <strong>the</strong>ir mean<strong>in</strong>g<br />
before <strong>the</strong>y can be allocated to a particular category. Of course, one<br />
can ‘allow <strong>the</strong> data to speak for itself’ by reproduc<strong>in</strong>g all of <strong>the</strong> <strong>in</strong>dividual<br />
responses but this merely leaves <strong>the</strong> task of mak<strong>in</strong>g sense of<br />
<strong>the</strong> responses up to <strong>the</strong> reader. It is possible to turn qualitative data<br />
of this nature <strong>in</strong>to quantitative data if <strong>the</strong> categories are clearly<br />
def<strong>in</strong>ed. Thus, with some risk to <strong>the</strong> diversity and nuances of <strong>the</strong><br />
data, and recognis<strong>in</strong>g that those with literacy problems may rema<strong>in</strong><br />
unheard, it is possible to take some qualitative data from <strong>the</strong> swamp<br />
up to <strong>the</strong> high hard ground and analyse it <strong>the</strong>re.<br />
In o<strong>the</strong>r situations, questions from both <strong>the</strong> high ground and <strong>the</strong><br />
swampy lowland emerge from <strong>the</strong> same sett<strong>in</strong>g but cannot be transformed<br />
<strong>in</strong>to quantitative data. Thus a social worker <strong>in</strong> an oncology<br />
unit of a hospital who is <strong>in</strong>terested <strong>in</strong> establish<strong>in</strong>g a support group<br />
for women with gynaecological cancers may ask herself a range of<br />
very different questions. As she looks at a list of <strong>the</strong> patients <strong>in</strong> a<br />
particular ward she may ask <strong>the</strong> follow<strong>in</strong>g sorts of questions: How<br />
many women <strong>in</strong> <strong>the</strong> ward at this time have a similar diagnosis?<br />
How many with this diagnosis are at a similar stage <strong>in</strong> <strong>the</strong> trajectory<br />
of <strong>the</strong>ir condition? What is <strong>the</strong>ir average length of admission? These<br />
are fairly straightforward numerical questions for which <strong>the</strong> data<br />
already exist.<br />
The next question she may ask is of a very different order: What<br />
are <strong>the</strong> multiple mean<strong>in</strong>gs of such a diagnosis for <strong>the</strong>se women and<br />
significant o<strong>the</strong>rs <strong>in</strong> <strong>the</strong>ir lives at this time? This is a hermeneutic<br />
question, that is, it is about <strong>the</strong> construction of mean<strong>in</strong>g. The<br />
responses to such a question are unlikely to be easily classified <strong>in</strong>to<br />
mutually exclusive categories that could be quantitatively analysed<br />
and, even if <strong>the</strong>y were, it is likely that much damage would be done<br />
to <strong>the</strong>ir complexity and subtlety. One of us has argued that<br />
‘mean<strong>in</strong>g construction’ is at <strong>the</strong> heart of much of <strong>the</strong> work <strong>in</strong> <strong>the</strong><br />
human services field and that <strong>the</strong> core traditional professional tools<br />
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