| 000 | 02393nam a22003618i 4500 | ||
|---|---|---|---|
| 001 | CR9781108233590 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160337.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 161125s2017||||enk o ||1 0|eng|d | ||
| 020 | _a9781108233590 (ebook) | ||
| 020 | _z9781108415392 (hardback) | ||
| 020 | _z9781108401388 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aHA31.5 _b.N48 2017 |
| 082 | 0 | 0 |
_a519.5/4 _223 |
| 100 | 1 |
_aNeumayer, Eric, _d1970- _eauthor. |
|
| 245 | 1 | 0 |
_aRobustness tests for quantitative research / _cEric Neumayer, Thomas Plumper. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2017. |
|
| 300 |
_a1 online resource (xiv, 254 pages) : _bdigital, PDF file(s). |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 0 | _aMethodological tools in the social sciences | |
| 500 | _aTitle from publisher's bibliographic system (viewed on 15 Sep 2017). | ||
| 520 | _aThe 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. | ||
| 650 | 0 | _aRobust statistics. | |
| 650 | 0 |
_aSocial sciences _xMethodology. |
|
| 700 | 1 |
_aPlümper, Thomas, _eauthor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9781108415392 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/9781108233590 |
| 999 |
_c523105 _d523103 |
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