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Causality in Policy Studies
a Pluralist Toolbox
Buch von Fedra Negri (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

Alessia Damonte is Associate Professor at the Department of Social and Political Sciences, University of Milan (Italy). Her research is focused on public policy, comparative politics, political economy, and methods.

Fedra Negri is Assistant Professor in political science at the Department of Sociology and Social Research, University of Milano-Bicocca (IT). Her research focuses on comparative politics, comparative social policies, populism, responsiveness, and quantitative methods for political research. Her publications include articles in Public Choice, Electoral Studies, European Union Politics, West European Politics, and Party Politics.

Zusammenfassung

This book is open access, which means that you have free and unlimited access

Provides a survey of methodological techniques for policy studies

Takes a realistic theoretical approach to causality

Includes replicable policy examples with datasets

Inhaltsverzeichnis
1. 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.
Details
Erscheinungsjahr: 2023
Genre: Politikwissenschaften
Rubrik: Wissenschaften
Medium: Buch
Seiten: 284
Reihe: Texts in Quantitative Political Analysis
Inhalt: x
274 S.
29 s/w Illustr.
12 farbige Illustr.
274 p. 41 illus.
12 illus. in color.
ISBN-13: 9783031129810
ISBN-10: 3031129814
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Negri, Fedra
Damonte, Alessia
Herausgeber: Alessia Damonte/Fedra Negri
Auflage: 1st ed. 2023
Hersteller: Springer International Publishing
Texts in Quantitative Political Analysis
Maße: 241 x 160 x 21 mm
Von/Mit: Fedra Negri (u. a.)
Erscheinungsdatum: 14.02.2023
Gewicht: 0,594 kg
Artikel-ID: 122059732
Über den Autor

Alessia Damonte is Associate Professor at the Department of Social and Political Sciences, University of Milan (Italy). Her research is focused on public policy, comparative politics, political economy, and methods.

Fedra Negri is Assistant Professor in political science at the Department of Sociology and Social Research, University of Milano-Bicocca (IT). Her research focuses on comparative politics, comparative social policies, populism, responsiveness, and quantitative methods for political research. Her publications include articles in Public Choice, Electoral Studies, European Union Politics, West European Politics, and Party Politics.

Zusammenfassung

This book is open access, which means that you have free and unlimited access

Provides a survey of methodological techniques for policy studies

Takes a realistic theoretical approach to causality

Includes replicable policy examples with datasets

Inhaltsverzeichnis
1. 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.
Details
Erscheinungsjahr: 2023
Genre: Politikwissenschaften
Rubrik: Wissenschaften
Medium: Buch
Seiten: 284
Reihe: Texts in Quantitative Political Analysis
Inhalt: x
274 S.
29 s/w Illustr.
12 farbige Illustr.
274 p. 41 illus.
12 illus. in color.
ISBN-13: 9783031129810
ISBN-10: 3031129814
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Negri, Fedra
Damonte, Alessia
Herausgeber: Alessia Damonte/Fedra Negri
Auflage: 1st ed. 2023
Hersteller: Springer International Publishing
Texts in Quantitative Political Analysis
Maße: 241 x 160 x 21 mm
Von/Mit: Fedra Negri (u. a.)
Erscheinungsdatum: 14.02.2023
Gewicht: 0,594 kg
Artikel-ID: 122059732
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