Detecting Model Dependence in Statistical Inference: A Response.
The article presents information on the need of researchers to be able to more readily identify model dependence to improve their own work and reanalyze data from existing articles and reevaluate statistical results and conclusions. Standard uncertainty measures such as standard errors and confidenc...
| Publicado en: | International Studies Quarterly Vol. 51; no. 1; pp. 231 - 242 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Mar2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The article presents information on the need of researchers to be able to more readily identify model dependence to improve their own work and reanalyze data from existing articles and reevaluate statistical results and conclusions. Standard uncertainty measures such as standard errors and confidence intervals can often be massively underestimated when counterfactuals are posed too far from available data and lead to high degrees of model dependence. |
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