001452716 000__ 03665nam\a22004817i\4500
001452716 001__ 1452716
001452716 003__ OCoLC
001452716 005__ 20230314003315.0
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001452716 007__ cr\un\nnnunnun
001452716 008__ 230223s2023\\\\sz\a\\\\o\\\\\000\0\eng\d
001452716 020__ $$a9783031129827$$q(electronic bk.)
001452716 020__ $$a3031129822$$q(electronic bk.)
001452716 020__ $$z9783031129810
001452716 0247_ $$a10.1007/978-3-031-12982-7$$2doi
001452716 035__ $$aSP(OCoLC)1371022194
001452716 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE
001452716 049__ $$aISEA
001452716 050_4 $$aJA86
001452716 08204 $$a320.072/1$$223/eng/20230223
001452716 24500 $$aCausality in policy studies :$$ba pluralist toolbox /$$cAlessia Damonte, Fedra Negri, editors.
001452716 264_1 $$aCham :$$bSpringer,$$c2023.
001452716 300__ $$a1 online resource (x, 274 pages) :$$billustrations (some color).
001452716 336__ $$atext$$btxt$$2rdacontent
001452716 337__ $$acomputer$$bc$$2rdamedia
001452716 338__ $$aonline resource$$bcr$$2rdacarrier
001452716 4901_ $$aTexts in quantitative political analysis,$$x2730-9622
001452716 5050_ $$a1. Introduction: the Elephant of Causation and the Blind Sages -- 2. Causation in the Social Realm -- 3. Counterfactuals with Experimental and Quasi-Experimental Variation -- 4. Correlation is not Causation, yet... Matching and Weighting for Better Counterfactuals -- 5. Getting the Most Out of Surveys: Multilevel Regression And Poststratification -- 6. Pathway analysis, causal mediation and the identification of causal mechanisms -- 7. Proof by Testing Joint Sufficiency Twice: Explanatory Qualitative Comparative Analysis -- 8. Causal Inference and Policy Evaluation from Case Studies using Bayesian Process Tracing -- 9. Exploring Interventions ogn Social Outcomes with in Silico, Agent-Based Experiments -- 10. The Many Threats from Mechanistic Heterogeneity that Can Spoil Multi-Method Research.
001452716 5060_ $$aOpen access.$$5GW5XE
001452716 520__ $$aThis volume provides a methodological toolbox for conducting policy research. Recognizing that policy research spans various academic disciplines, each of which takes a different view on causality, the volume introduces a methodologically pluralistic approach to policy studies. Each chapter clarifies the research question that each technique can answer, the research design and data treatment that each technique requires for its results to be sound, the validity domain of its results, and the actual deployment of the technique through a replicable example. Techniques covered include quasi-experimental designs, approaches to account for selection bias and observed imbalances, directed acyclic graphs and structural equation models, Qualitative Comparative Analysis, Bayesian case study and process tracing, and Agent-Based Modelling. By working through the volume, readers will understand how to learn from different techniques, apply them consciously, and triangulate them to make better sense of findings. This volume is intended for advanced academic courses, as well as scholars and practitioners in policy-related fields, such as political science, economics, sociology, and public administration. This is an open access book.
001452716 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 23, 2023).
001452716 650_0 $$aPolitical science$$xResearch$$xMethodology.
001452716 650_0 $$aCausation.
001452716 655_0 $$aElectronic books.
001452716 7001_ $$aDamonte, Alessia,$$eeditor.
001452716 7001_ $$aNegri, Fedra,$$eeditor.
001452716 830_0 $$aTexts in quantitative political analysis,$$x2730-9622
001452716 852__ $$bebk
001452716 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-031-12982-7$$zOnline Access$$91397441.2
001452716 909CO $$ooai:library.usi.edu:1452716$$pGLOBAL_SET
001452716 980__ $$aBIB
001452716 980__ $$aEBOOK
001452716 982__ $$aEbook
001452716 983__ $$aOnline
001452716 994__ $$a92$$bISE