Bridging qualitative and quantitative methods for classifying policy actors into policy discourse communities: thematic analysis and formal concept analysis approaches
Küçük Resim Yok
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © 2010 Inderscience Enterprises Ltd.
Açıklama
Anahtar Kelimeler
Discourse Analysis, Formal Concept Analysis, Policy Networks, Thematic Analysis
Kaynak
International Journal of Data Analysis Techniques and Strategies
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
2
Sayı
3
