Causality in Policy Studies : : a Pluralist Toolbox / / edited by Alessia Damonte, Fedra Negri.
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 clarifie...
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Superior document: | Texts in Quantitative Political Analysis, |
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Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2023. |
Year of Publication: | 2023 |
Edition: | 1st ed. 2023. |
Language: | English |
Series: | Texts in Quantitative Political Analysis,
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Physical Description: | 1 online resource (281 pages) |
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Damonte, Alessia. Causality in Policy Studies : a Pluralist Toolbox / edited by Alessia Damonte, Fedra Negri. 1st ed. 2023. Cham : Springer International Publishing : Imprint: Springer, 2023. 1 online resource (281 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Texts in Quantitative Political Analysis, 2730-9622 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. 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. Open Access Political science. Political planning. Social sciences—Statistical methods. Methodology of Political Science. Public Policy. Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. Political Theory. 3-031-12981-4 Negri, Fedra. |
language |
English |
format |
eBook |
author |
Damonte, Alessia. |
spellingShingle |
Damonte, Alessia. Causality in Policy Studies : a Pluralist Toolbox / Texts in Quantitative Political Analysis, 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. |
author_facet |
Damonte, Alessia. Negri, Fedra. |
author_variant |
a d ad |
author2 |
Negri, Fedra. |
author2_variant |
f n fn |
author2_role |
TeilnehmendeR |
author_sort |
Damonte, Alessia. |
title |
Causality in Policy Studies : a Pluralist Toolbox / |
title_sub |
a Pluralist Toolbox / |
title_full |
Causality in Policy Studies : a Pluralist Toolbox / edited by Alessia Damonte, Fedra Negri. |
title_fullStr |
Causality in Policy Studies : a Pluralist Toolbox / edited by Alessia Damonte, Fedra Negri. |
title_full_unstemmed |
Causality in Policy Studies : a Pluralist Toolbox / edited by Alessia Damonte, Fedra Negri. |
title_auth |
Causality in Policy Studies : a Pluralist Toolbox / |
title_new |
Causality in Policy Studies : |
title_sort |
causality in policy studies : a pluralist toolbox / |
series |
Texts in Quantitative Political Analysis, |
series2 |
Texts in Quantitative Political Analysis, |
publisher |
Springer International Publishing : Imprint: Springer, |
publishDate |
2023 |
physical |
1 online resource (281 pages) |
edition |
1st ed. 2023. |
contents |
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. |
isbn |
3-031-12982-2 3-031-12981-4 |
issn |
2730-9622 |
callnumber-first |
J - Political Science |
callnumber-subject |
JA - Political Science |
callnumber-label |
JA71-80 |
callnumber-sort |
JA 271 280 |
illustrated |
Not Illustrated |
dewey-hundreds |
300 - Social sciences |
dewey-tens |
320 - Political science |
dewey-ones |
320 - Political science |
dewey-full |
320.0721 |
dewey-sort |
3320.0721 |
dewey-raw |
320.0721 |
dewey-search |
320.0721 |
oclc_num |
1371022194 |
work_keys_str_mv |
AT damontealessia causalityinpolicystudiesapluralisttoolbox AT negrifedra causalityinpolicystudiesapluralisttoolbox |
status_str |
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hierarchy_parent_title |
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is_hierarchy_title |
Causality in Policy Studies : a Pluralist Toolbox / |
container_title |
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