• Media type: E-Book
  • Title: Causality in policy studies : a pluralist toolbox
  • Contains: Introduction : the elephant of causation and the blind sages
    Causation in the social realm
    Counterfactuals with experimental and quasi-experimental variation
    Correlation is not causation, yet… matching and weighting for better counterfactuals
    Getting the most out of surveys : multilevel regression and poststratification
    Pathway analysis, causal mediation and the identification of causal mechanisms
    Testing joint sufficiency twice : explanatory qualitative comparative analysis
    Causal inference and policy evaluation from case studies using Bayesian process tracing
    Exploring interventions on social outcomes with in Silico, agent-based experiments
    The many threats from mechanistic heterogeneity that can spoil multi-method research
  • Contributor: Damonte, Alessia [HerausgeberIn]; Negri, Fedra [HerausgeberIn]
  • imprint: Cham: Springer International Publishing, 2023
    Cham: Imprint: Springer, 2023
  • Published in: Texts in quantitative political analysis
  • Issue: 1st ed. 2023
  • Extent: 1 Online-Ressource (x, 274 Seiten)
  • Language: English
  • DOI: 10.1007/978-3-031-12982-7
  • ISBN: 9783031129827
  • Identifier:
  • Keywords: Social sciences—Statistical methods. ; Political science. ; Political planning. ; Social sciences ; Politische Wissenschaft ; Sozialwissenschaften ; Quantitative Methode ; Statistische Analyse ; Analysis
  • Origination:
  • Footnote: Open Access
    Tabellen, Literaturverzeichnisse, Literaturhinweise
  • Description: This 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.
  • Access State: Open Access