Robustness tests for quantitative research:
The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness test...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2017
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| Schlagwörter: | |
| Links: | https://doi.org/10.1017/9781108233590 https://doi.org/10.1017/9781108233590 https://doi.org/10.1017/9781108233590 https://doi.org/10.1017/9781108233590 |
| Zusammenfassung: | The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 15 Sep 2017) |
| Umfang: | 1 Online-Ressource (xiv, 254 Seiten) |
| ISBN: | 9781108233590 |
| DOI: | 10.1017/9781108233590 |
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| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:24:08Z |
| institution | BVB |
| isbn | 9781108233590 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030714611 |
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| physical | 1 Online-Ressource (xiv, 254 Seiten) |
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| publishDate | 2017 |
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| publisher | Cambridge University Press |
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| spelling | Neumayer, Eric 1970- Verfasser (DE-588)124322409 aut Robustness tests for quantitative research Eric Neumayer, Thomas Plümper Cambridge Cambridge University Press 2017 1 Online-Ressource (xiv, 254 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 15 Sep 2017) The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research Robust statistics Social sciences / Methodology Methode (DE-588)4038971-6 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Robuste Statistik (DE-588)4451047-0 gnd rswk-swf Methode (DE-588)4038971-6 s Sozialwissenschaften (DE-588)4055916-6 s Robuste Statistik (DE-588)4451047-0 s 1\p DE-604 Plümper, Thomas 1964- Verfasser (DE-588)136705901 aut Erscheint auch als Druck-Ausgabe 978-1-10-841539-2 https://doi.org/10.1017/9781108233590 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Neumayer, Eric 1970- Plümper, Thomas 1964- Robustness tests for quantitative research Robust statistics Social sciences / Methodology Methode (DE-588)4038971-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Robuste Statistik (DE-588)4451047-0 gnd |
| subject_GND | (DE-588)4038971-6 (DE-588)4055916-6 (DE-588)4451047-0 |
| title | Robustness tests for quantitative research |
| title_auth | Robustness tests for quantitative research |
| title_exact_search | Robustness tests for quantitative research |
| title_full | Robustness tests for quantitative research Eric Neumayer, Thomas Plümper |
| title_fullStr | Robustness tests for quantitative research Eric Neumayer, Thomas Plümper |
| title_full_unstemmed | Robustness tests for quantitative research Eric Neumayer, Thomas Plümper |
| title_short | Robustness tests for quantitative research |
| title_sort | robustness tests for quantitative research |
| topic | Robust statistics Social sciences / Methodology Methode (DE-588)4038971-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Robuste Statistik (DE-588)4451047-0 gnd |
| topic_facet | Robust statistics Social sciences / Methodology Methode Sozialwissenschaften Robuste Statistik |
| url | https://doi.org/10.1017/9781108233590 |
| work_keys_str_mv | AT neumayereric robustnesstestsforquantitativeresearch AT plumperthomas robustnesstestsforquantitativeresearch |