Bridging qualitative and quantitative methods for classifying policy actors into policy discourse communities: thematic analysis and formal concept analysis approaches
Policy decision process is usually depicted as a neutral and technical process in which problem solving capacity of a policy decision determines the validity of its effectiveness. However, socio-political space is fragmented and policy making process reflects the conflicts between different socio-political actors. Empirical detection of policy networks is a problematic issue since world views reflecting policy beliefs can best be elicited in unstructured narrative forms which do not easily lend themselves to a systematic and objective classification of the narrating actors. Thus, the data for such research is usually collected through structured interviews which provide a solid basis for quantitative classification techniques such as cluster analysis. However, structured interviews are prone to imposing researcher's perspective to the data rather than reflecting the world views of the policy actors. The aim of this paper is to offer a systematic way of classifying policy actors into policy communities according to the data collected through unstructured policy narratives. For this purpose the paper proposes a method that bridges qualitative thematic analysis with quantitative formal concept analysis.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 2 (2010)
Issue (Month): 3 ()
|Contact details of provider:|| Web page: http://www.inderscience.com/browse/index.php?journalID=282|
When requesting a correction, please mention this item's handle: RePEc:ids:injdan:v:2:y:2010:i:3:p:199-216. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Darren Simpson)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.