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
9 Epilogue: From research to practice, programs and politics We began this journey looking at how qualitative research can be generated from the swampy lowland of practice in the human services. We end it by examining the impact of such research, thus completing the loop back to practice. It is not always easy to identify the impact of research. Some studies have an obvious and immediate effect while the effects of others may be almost imperceptible, particularly in the short term. It is also hard to differentiate the impact of one study from that of others as one piece of research can lead to another, creating multiple ripples in a reservoir of research and practice in which it is impossible to determine the ripple from a particular stone. The researcher may not be aware of the impact which a study has, just as human services managers, policy-makers and practitioners may not be fully aware of the research which is influencing them in their decisions. In this chapter we look briefly at how qualitative research in the human services can be used to enhance the response of the service system and the broader community to complex human problems. We conclude by giving a few examples from our interviews with researchers. While it will mostly be people other than researchers who will put into practice the implications of their findings, researchers have an important role to play in determining the impact of their study. Making recommendations in the most effective ways possible is a key part of this. Surprisingly, very little attention has been 177
Qualitative research in practice given in the research literature on how to do this. Patton, an expert in qualitative program evaluation, commented that: Recommendations have long troubled me because they have seemed the weakest part of evaluation. We have made enormous progress in ways of studying programs, methodological diversity, and a variety of data-collection techniques and designs. The pay off from these advances comes in the recommendations we make. But we have made very little progress in how to construct useful recommendations (Patton, 1988, p. 90). Perhaps there needs to be a research project on how best to write research recommendations! Below is a summary of the suggestions which Hendricks and Papagiannis (1990, pp. 122–5) have proposed for making recommendations in relation to program evaluation. They are applicable also to other types of research. • Consider all issues in your evaluation to be ‘fair game’ for recommendations, not just those the research was designed to investigate. • Don’t wait until the end of your evaluation to begin thinking about recommendations—record possible recommendations from the commencement of data collection. • Draw possible recommendations from a wide variety of sources, including earlier studies of similar programs and program staff of different levels in the organisation. • Work closely with agency personnel throughout the process to minimise the threat which unexpected recommendations can pose, and engage stakeholders who have the power to implement them. • Consider the contexts into which the recommendations must fit and make realistic recommendations, thinking carefully before recommending fundamental changes. • Decide how specific you want your recommendations to be and consider the possibility of providing options for decision-makers. • Show the future implications of your recommendations in as much detail as possible and consider planning an implementation strategy and, if invited, consider becoming involved in the implementation itself. • Make your recommendations easy for decision-makers to understand, categorising them in meaningful ways (for example, short-term and long-term) and adapt the way recommendations 178
- Page 144 and 145: Mixing methods in itself. Rather, t
- Page 146 and 147: Mixing methods and how they would e
- Page 148 and 149: Mixing methods violence; that they
- Page 150 and 151: Mixing methods incredibly arrogant
- Page 152 and 153: Mixing methods about 1200 organisat
- Page 154 and 155: Mixing methods Yvonne: that overarc
- Page 156 and 157: Mixing methods Yvonne: Cheryl: Yvon
- Page 158 and 159: Mixing methods reducing the benefit
- Page 160 and 161: Analysing data possible about what
- Page 162 and 163: Analysing data sometimes referred t
- Page 164 and 165: Analysing data Team research makes
- Page 166 and 167: Analysing data crying—and I could
- Page 168 and 169: Analysing data Analysing the observ
- Page 170 and 171: Analysing data I’d said that’,
- Page 172 and 173: Analysing data straight to the inte
- Page 174 and 175: Analysing data They also highlight
- Page 176 and 177: Presenting and writing up be used.
- Page 178 and 179: Presenting and writing up participa
- Page 180 and 181: Presenting and writing up the princ
- Page 182 and 183: Presenting and writing up difficult
- Page 184 and 185: Presenting and writing up adopted c
- Page 186 and 187: Presenting and writing up Yvonne: L
- Page 188 and 189: Presenting and writing up of the th
- Page 190 and 191: Presenting and writing up Tim: stor
- Page 192 and 193: Presenting and writing up Anne felt
- Page 196 and 197: Epilogue are presented to the way i
- Page 198 and 199: Epilogue • Diffusion (disseminati
- Page 200 and 201: Epilogue practical and simple langu
- Page 202 and 203: Epilogue violence, the things we em
- Page 204 and 205: Epilogue [it] was dragging me along
- Page 206 and 207: Epilogue through reporting the expe
- Page 208 and 209: References Beresford, B. 1997 Perso
- Page 210 and 211: References Darlington, Y., Osmond,
- Page 212 and 213: References Johnson, K. & Scott, D.
- Page 214 and 215: References ——1995 In-depth Inte
- Page 216 and 217: References ——1990 Writing Strat
- Page 218 and 219: References Tilse, C. 1994 ‘Long t
- Page 220 and 221: Index Page numbers in italics refer
- Page 222 and 223: Index ‘getting in/getting on/gett
- Page 224 and 225: Index quantitative research 3; meth
<strong>Qualitative</strong> research <strong>in</strong> practice<br />
given <strong>in</strong> <strong>the</strong> research literature on how to do this. Patton, an expert<br />
<strong>in</strong> qualitative program evaluation, commented that:<br />
Recommendations have long troubled me because <strong>the</strong>y have seemed<br />
<strong>the</strong> weakest part of evaluation. We have made enormous progress <strong>in</strong><br />
ways of study<strong>in</strong>g programs, methodological diversity, and a variety<br />
of data-collection techniques and designs. The pay off from <strong>the</strong>se<br />
advances comes <strong>in</strong> <strong>the</strong> recommendations we make. But we have made<br />
very little progress <strong>in</strong> how to construct useful recommendations<br />
(Patton, 1988, p. 90).<br />
Perhaps <strong>the</strong>re needs to be a research project on how best to write<br />
research recommendations! Below is a summary of <strong>the</strong> suggestions<br />
which Hendricks and Papagiannis (1990, pp. 122–5) have proposed<br />
for mak<strong>in</strong>g recommendations <strong>in</strong> relation to program evaluation.<br />
They are applicable also to o<strong>the</strong>r types of research.<br />
• Consider all issues <strong>in</strong> your evaluation to be ‘fair game’ for<br />
recommendations, not just those <strong>the</strong> research was designed to<br />
<strong>in</strong>vestigate.<br />
• Don’t wait until <strong>the</strong> end of your evaluation to beg<strong>in</strong> th<strong>in</strong>k<strong>in</strong>g<br />
about recommendations—record possible recommendations<br />
from <strong>the</strong> commencement of data collection.<br />
• Draw possible recommendations from a wide variety of sources,<br />
<strong>in</strong>clud<strong>in</strong>g earlier studies of similar programs and program staff<br />
of different levels <strong>in</strong> <strong>the</strong> organisation.<br />
• Work closely with agency personnel throughout <strong>the</strong> process to<br />
m<strong>in</strong>imise <strong>the</strong> threat which unexpected recommendations can<br />
pose, and engage stakeholders who have <strong>the</strong> power to implement<br />
<strong>the</strong>m.<br />
• Consider <strong>the</strong> contexts <strong>in</strong>to which <strong>the</strong> recommendations must fit<br />
and make realistic recommendations, th<strong>in</strong>k<strong>in</strong>g carefully before<br />
recommend<strong>in</strong>g fundamental changes.<br />
• Decide how specific you want your recommendations to be and<br />
consider <strong>the</strong> possibility of provid<strong>in</strong>g options for decision-makers.<br />
• Show <strong>the</strong> future implications of your recommendations <strong>in</strong> as<br />
much detail as possible and consider plann<strong>in</strong>g an implementation<br />
strategy and, if <strong>in</strong>vited, consider becom<strong>in</strong>g <strong>in</strong>volved <strong>in</strong> <strong>the</strong><br />
implementation itself.<br />
• Make your recommendations easy for decision-makers to understand,<br />
categoris<strong>in</strong>g <strong>the</strong>m <strong>in</strong> mean<strong>in</strong>gful ways (for example,<br />
short-term and long-term) and adapt <strong>the</strong> way recommendations<br />
178