The new version of our Stata module surveybias has now appeared on SSC. From within Stata, simply run ssc install surveybias, all to install it (no surprise here). For the time being, the article on which the module is based has been ungated. Get it while it is free.
The very useful OUP blog has a Q&A session on polling accuracy with Jocelyn Evans and me: Polling accuracy: a Q&A with Kai Arzheimer and Joceyln Evans. Moreover, Oxford University Press has kindly ungated the Political Analysis paper on our New Multinomial Accuracy Measure (TM), so grab the PDF while it is free.
We have updated our Stata package surveybias, which estimates bias in pre-election polls and other surveys where the true distribution is known. A new feature facilitates the en masse comparison of surveys collected before an election. Also in this release: somewhat better documentation and toy data to get you started.
Replication data for our forthcoming Political Analysis paper on our new, multinomial accuracy measure for bias in opinion surveys (e.g. pre-election polls) has just come online at the PA dataverse.
BinaryApe / Foter / CC BYIn a recent paper, we derive various multinomial measures of bias in public opinion surveys (e.g. pre-election polls). Put differently, with our methodology, you may calculate a scalar measure of survey bias in multi-party elections. Thanks to Kit Baum over at Boston College, our Stata add-on surveybias.ado is now available…
Who is afraid of whom? The liberal German weekly Zeit has commissioned a YouGov poll which demonstrates that Germans are more afraid of right-wing terrorists than of Islamist terrorists. The question read “What is, in your opinion, the biggest terrorist threat in Germany?” On offer were right-wingers (41 per cent), Islamists (36.6 per cent), left-wingers…
Sometimes, a man’s gotta do what a man’s gotta do. Which, in my case, might be a little simulation of a random process involving an unordered categorical variable. In R, sampling from a multinomial distribution is trivial. rmultinom(1,1000,c(.1,.7,.2,.1)) gives me a vector of random numbers from a multinomial distribution with outcomes 1, 2, 3, and…