Estimating latent traits from expert surveys: an analysis of sensitivity to data-generating process
| Autor: | Kyle L. Marquardt, Daniel Pemstein |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
021110 strategic
defence & security studies Sociology and Political Science Research council 05 social sciences Political Science and International Relations 050602 political science & public administration 0211 other engineering and technologies Library science 02 engineering and technology Sociology 0506 political science |
| Zdroj: | Political Science Research and Methods. 11:384-393 |
| ISSN: | 2049-8489 2049-8470 |
| Popis: | Earlier drafts presented at the 2018 APSA, EPSA and V-Dem conferences. The authors thank Chris Fariss, John Gerring, Adam Glynn, Dean Lacy and Jeff Staton for their comments on earlier drafts of this paper. This material is based upon work supported by the National Science Foundation (SES-1423944, PI: Daniel Pemstein), Riksbankens Jubileumsfond (M13-0559:1, PI: Sta ffan I. Lindberg), the Swedish Research Council (2013.0166, PI: Staff an I. Lindberg and Jan Teorell); the Knut and Alice Wallenberg Foundation (PI: Staff an I. Lindberg) and the University of Gothenburg (E 2013/43), as well as internal grants from the Vice-Chancellor's o ffice, the Dean of the College of Social Sciences, and the Department of Political Science at University of Gothenburg. We performed simulations and other computational tasks using resources provided by the High Performance Computing section and the Swedish National Infrastructure for Computing at the National Supercomputer Centre in Sweden (SNIC 2017/1-406 and 2018/3-133, PI: Staff an I. Lindberg). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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