Titlebook: Causality in Policy Studies; a Pluralist Toolbox Alessia Damonte,Fedra Negri Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author

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https://doi.org/10.1007/978-3-663-02811-6re often interested in public opinion as a key dependent or independent variable, paying careful attention to the sources of measurement error from surveys is an essential step toward detecting causation. This chapter introduces multilevel regression and poststratification (MRP), a method for adjust

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Gegenstand und Methodik der Informatik,sociated with an outcome in a population. As such, it suits the purpose of pinpointing the conditions under which an outcome occurs or fails. However, the explanatory import of its findings only follows if the algorithm identifies theoretically ., logically ., and empirically . causal compounds..The

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https://doi.org/10.1007/978-3-663-05539-6ossible, case studies can strengthen inferences either as a standalone method or as part of a multimethod research design. The chapter outlines the case study method of process tracing (PT), which is a within-case mode of analysis that builds upon Bayesian logic to make inferences to the best explan

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https://doi.org/10.1007/978-3-663-05539-6r simulation. It can be used to understand the effect of initial conditions on complex outcomes by exploring fine-grained (multiple-scale, spatial/temporal) observations on the aggregate consequences of agent interaction. By performing . experimental tests on policy interventions where . predictions

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Zusammenfassung der Ergebnisse,over the last decade. One reason for the popularity of MMR is grounded in the idea that different methods can complement each other, in the sense that the strengths of one method can compensate for the blind spots and weaknesses of another and vice versa. In this chapter, we critically address this

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