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Comparative Policy Analysis and the Science of Conceptual Systems: A Candidate Pathway to a Common Variable.

Guswin de Wee
Published in: Foundations of science (2021)
In comparative policy analysis (CPA), a generally accepted historic problem that transcends time is that of identifying common variables. Coupled with this problem is the unanswered challenge of collaboration and interdisciplinary research. Additionally, there is the problem of the rare use of text-as-data in CPA and the fact it is rarely applied, despite the potential demonstrated in other subfields. CPA is multi-disciplinary in nature, and this article explores and proposes a common variable candidate that is found in almost (if not) all policies, using the science of conceptual systems (SOCS) as a pathway to investigate the structure found in policy as a lynchpin in CPA. Furthermore, the article proposes a new text-as-data approach that is less expensive, which could lead to a more accessible method for collaborative and interdisciplinary policy development. We find that the SOCS is uniquely positioned to serve in an alliance fashion in the larger qualitative comparative analysis that supports CPA. Because policies around the world are failing to reach their goals successfully, this article is expected to open a new path of inquiry in CPA, which could be used to support interdisciplinary research for knowledge of and knowledge in policy analysis.
Keyphrases
  • public health
  • healthcare
  • mental health
  • systematic review
  • big data
  • data analysis