Causality in Policy Studies
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...
Збережено в:
| Формат: | Online |
|---|---|
| Мова: | Англійська |
| Опубліковано: |
Springer Nature
2023
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| Предмети: | |
| Онлайн доступ: | ONIX_20230317_9783031129827_16 |
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| _version_ | 1869523409672601600 |
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| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-98524 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-985242025-07-17T12:16:03Z Causality in Policy Studies Damonte, Alessia Negri, Fedra causal inference counterfactual impact evaluation Qualitative Comparative Analysis structural equation framework Bayesian process tracing Agent-based modeling mixed-methods R thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics 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. 2023-03-20T09:17:10Z 2023-03-20T09:17:10Z 2023-03-17T15:20:07Z 2023 book ONIX_20230317_9783031129827_16 https://library.oapen.org/handle/20.500.12657/61855 9783031129827 https://directory.doabooks.org/handle/20.500.12854/98524 eng Texts in Quantitative Political Analysis open access image/jpeg image/jpeg n/a n/a https://library.oapen.org/bitstream/20.500.12657/61855/1/978-3-031-12982-7.pdf https://library.oapen.org/bitstream/20.500.12657/61855/1/978-3-031-12982-7.pdf Springer Nature Springer International Publishing 10.1007/978-3-031-12982-7 10.1007/978-3-031-12982-7 9fa3421d-f917-4153-b9ab-fc337c396b5a Università degli Studi di Milano 875497ee-8ccc-47b9-838c-e227669e8573 9783031129827 Springer International Publishing 274 Cham [...] open access |
| spellingShingle | causal inference counterfactual impact evaluation Qualitative Comparative Analysis structural equation framework Bayesian process tracing Agent-based modeling mixed-methods R thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics Causality in Policy Studies |
| title | Causality in Policy Studies |
| title_full | Causality in Policy Studies |
| title_fullStr | Causality in Policy Studies |
| title_full_unstemmed | Causality in Policy Studies |
| title_short | Causality in Policy Studies |
| title_sort | causality in policy studies |
| topic | causal inference counterfactual impact evaluation Qualitative Comparative Analysis structural equation framework Bayesian process tracing Agent-based modeling mixed-methods R thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics |
| topic_facet | causal inference counterfactual impact evaluation Qualitative Comparative Analysis structural equation framework Bayesian process tracing Agent-based modeling mixed-methods R thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics |
| url | ONIX_20230317_9783031129827_16 |