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  • 1
    Online Resource
    Online Resource
    Robustness tests for quantitative research (2017)
    Cambridge : Cambridge University Press
    Details
    UID:
    gbv_1005465304
    Format: 1 Online-Ressource (xiv, 254 Seiten) , Illustrationen
    ISBN: 9781108233590
    Series Statement: Methodological tools in the social sciences
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 15 Sep 2017)
    Additional Edition: ISBN 9781108401388
    Additional Edition: ISBN 9781108415392
    Additional Edition: ISBN 9781108401388
    Additional Edition: Erscheint auch als Druck-Ausgabe Neumayer, Eric, 1970 - Robustness tests for quantitative research Cambridge : Cambridge University Press, 2017 ISBN 9781108415392
    Additional Edition: ISBN 9781108401388
    Language: English
    Subjects: Law , Sociology
    RVK:
    PZ 3200
    RVK:
    MR 2100
    RVK:
    MR 2000
    RVK:
    PH 8090
    Keywords: Robuste Statistik ; Robuste Statistik
    DOI: 10.1017/9781108233590
    URL: Volltext  (lizenzpflichtig)
    Author information: Neumayer, Eric 1970-
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    Open Access Request
    Stabi Berlin
    UB Potsdam
  • 2
    Online Resource
    Online Resource
    Robustness tests for quantitative research / (2017)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almafu_9960117120702883
    Format: 1 online resource (xiv, 254 pages) : , digital, PDF file(s).
    ISBN: 1-108-24583-8 , 1-108-24412-2 , 1-108-23359-7
    Series Statement: Methodological tools in the social sciences
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 15 Sep 2017). , 1. Introduction; Part I. Robustness - A Conceptual Framework: 2. Causal complexity and the limits to inferential validity; 3. The logic of robustness testing; 4. The concept of robustness; 5. A typology of robustness tests; 6. Alternatives to robustness testing?; Part II. Robustness Tests and the Dimensions of Model Uncertainty: 7. Population and sample; 8. Concept validity and measurement; 9. Explanatory and omitted variables; 10. Functional forms beyond default; 11. Causal heterogeneity and context conditionality; 12. Structural change as temporal heterogeneity; 13. Effect dynamics; 14. Spatial correlation and dependence; 15. Conclusion.
    Additional Edition: ISBN 1-108-41539-3
    Additional Edition: ISBN 1-108-40138-4
    Language: English
    URL: https://doi.org/10.1017/9781108233590
    URL: https://doi.org/10.1017/9781108233590
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    HU Berlin
    FU Berlin
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