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EnglishFollowing a meta-analysis approach as a special case of multilevel modelling, we identify potential sources of dissimilarities in accuracy measures of pre-election polls, carried out during Parliamentary elections in Italy from 2001 to 2008. The predictive accuracy measure, computed to compare the pre-electoral poll result to the actual result, is the dependent variable and the poll characteristics are the explanatory variables and are introduced in a hierarchical model. In the model each outcome is affected by a specific sampling error assumed to have a normal distribution and a known variance. The multilevel model approach decomposes variance components as well as meta-analysis random models. We propose a multilevel approach, in order to make the estimation procedure easier and more flexible than in a traditional meta-analysis approach.
| Titolo: | Meta-Analysis of Poll Accuracy Measures: A Multilevel Approach. |
| Autori interni: | TOMASELLI, Venera (Corresponding) |
| Data di pubblicazione: | 2015 |
| Handle: | http://hdl.handle.net/20.500.11769/71864 |
| ISBN: | 978-3-319-17376-4 |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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