16.11.2014 Views

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

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<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 />

7

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!