Causal process tracing (CPT) has emerged as an important method of causal inference in qualitative science research, most notably in case study research designs. There is now a considerable on the aims, philosophical groundings, and methods of process tracing. This paper reviews the literature to assess what new directions it may suggest for policy studies. The first part of the paper out the methodological advantages CPT offers in building and testing theories of policy change, notably in supporting a theoretical pluralism to address the problem of complexity in policy . Building on recent scholarship across the social sciences, the second part examines step by step recently minted “best practice” for undertaking CPT in policy studies. This part includes discussion the possible pitfalls of CPT as a method; common errors involved in its use are set out and strategies offered. In particular, while acknowledging the usefulness of Bayesian tests for as heuristic devices, we emphasize the limitations of applying such tests in practice. Possible are suggested. The final part of the paper speculates more generally on the potential of CPT improve our investigation of patterns of policy change over time.
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Kay et al. (2014) studied this question.
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