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Causality in Policy Studies: a Pluralist Toolbox
ISBN: 9783031129827 ;ISBN: 3031129822 ;DOI: 10.1007/978-3-031-12982-7
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Title:
Causality in Policy Studies: a Pluralist Toolbox
Author:
Negri, Fedra
;
Damonte, Alessia
Subjects:
Agent-based modeling
;
Bayesian process tracing
;
causal inference
;
counterfactual impact evaluation
;
mixed-methods
;
Political science and theory
;
Politics and government
;
Public administration
;
Qualitative Comparative Analysis
;
Social
research and statistics
;
Society and
Social
Sciences
;
Sociology
;
Sociology and anthropology
;
structural equation framework
;
thema EDItEUR
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.
Related Titles:
Texts in Quantitative Political Analysis
Publisher:
Cham: Springer Nature
Creation Date:
2023
Format:
274
Language:
English
Identifier:
ISBN: 9783031129827
ISBN: 3031129822
DOI: 10.1007/978-3-031-12982-7
Source:
OAPEN
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