Calibrating Coercive Policy Transfer: Developing a Methodological Toolkit for Evaluating Policy Compatibility.

拟议的研究将扩展我博士论文中应用的方法论方法(动态模式合成-DPS)，通过进一步开发结果的数据可视化，以允许更快、更容易地识别模式、关系和趋势，并促进结果的交流，同时在这一新兴的量化混合方法论述中发展出版物的跟踪记录。DPS方法属于复杂性理论和构型方法(Haynes，2017)。它被纳入最近ESRC CECAN向英国公务员提供的关于政策评估方法的建议(Bicket等人，2020年)。它结合了集群分析(CA)和定性比较分析(QCA)等配置方法在特定和纵向政策研究情况下的互补优势和劣势。在我的论文中的应用中，很明显，DPS方法为评估和解释国家趋同的各个方面以及案件内部和案件之间不断变化的趋同模式提供了一种途径。在复杂性很高的情况下，这样的DPS解释也受制于研究人员的认识论和本体论方法。这有时可能会使理解不充分，需要进一步的研究和理论化。为此，本项目旨在通过在RStudio软件包中应用DPS方法(创建Java程序或“DO文件”)来推进DPS方法的应用，并包括“自然语言编程”(文件分析)的应用程序来补充该方法。其目的是为跨案件的复杂性分析提供一个额外的层面，并协助建立“与具有代表性的领域样本中的每个案件有关的政策和其他程序的历史”(Byrne&Uprichard，2007年，第50页)。在这里，这种方法的用户还将能够确定政策文件中的相似之处和不同之处，这可以用来进一步解释DPS结果。通过ESRC的资助，我将进一步发展这一先进的方法方法，改善结果的数据可视化，同时在这一新兴的量化混合方法讨论范围内发展出版物的跟踪记录。

The proposed research will extend the methodological approach (Dynamic Patterns Synthesis - DPS) applied within my Ph.D. thesis by further developing the data visualization of results to allow for quicker, and easier, identification of patterns, relationships, and trends as well as advance the communication of findings while developing a track record of publications within this emerging quantitative mixed methods discourse. The DPS method is situated within complexity theory and configurational methods (Haynes, 2017). It was included in recent ESRC CECAN advice on policy evaluation methods supplied to the UK civil service (Bicket, et al, 2020). It combines the complementary strengths and weaknesses of cluster analysis (CA) and aspects of configurative approaches like qualitative comparative analysis (QCA) in a specific and longitudinal policy research situation. In its application within my thesis, it became evident that the DPS method provided an avenue for assessing and interpreting aspects of country convergence, as well as the changing patterns of convergence that exist within and between cases. In instances where complexity is high, such DPS interpretations are also subject to the researchers' epistemological and ontological approaches. This could sometimes make the understanding inadequate and in need of further research and theorizing. For this reason, this project aims to advanced the application of the DPS method by applying it in an RStudio software package (creating a Java program or 'do-file') and include the application of 'Natural Language Programming' (documentary analysis) to complement the method. This is aimed at providing an additional layer to the analysis of complexity across cases and assist in establishing "a history of policy and other processes in relation to each of the cases in a representative sample of areas" (Byrne & Uprichard 2007, p. 50). Here, users of this method would also be able to identify similarities and differences in policy documents and this could be used to further interpret DPS results. Through the ESRC funding, I would further develop this advanced methodological approach and improve the data visualization of results while developing a track record of publications within this emerging quantitative mixed methods discourse.