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Causality in Policy Studies:a Pluralist Toolbox

Alessia Damonte - Personal Name; Fedra Negri - Personal Name; Daniel Little - Personal Name; Erich Battistin - Personal Name; Marco Bertoni - Personal Name; Joseph T. Ornstein - Personal Name; Leonce Röth - Personal Name; Andrew Bennett - Personal Name; Flaminio Squazzoni - Personal Name; Federico Bianchi - Personal Name; Markus B. Siewert - Personal Name; Derek Beach - Personal Name;

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.


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Detail Information
Series Title
-
Call Number
320 CAU
Publisher
Cham, Switzerland : Springer Open., 2023
Collation
-
Language
English
ISBN/ISSN
9783031129827
Classification
320
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Law
Education
Humanities
political theory
public policy
Methodology of Political Science
Behavorial Sciences
Specific Detail Info
-
Statement of Responsibility
-
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