In this post (the second in a mini-series of posts on our Stata add-on surveybias), we demonstrate how to analyse survey bias in the absence of raw data, using our command surveybiasi.
In a recent publication (Arzheimer & Evans 2014), we propose a new multinomial measure B for bias in opinion surveys. We also supply a suite of ado files for Stata, surveybias, which plugs into Stata’s framework for estimation programs and provides estimates for this and other measures along with their standard errors. This is the first instalment in a mini series of posts that show how our commands can be used with real-world data. Here, we analyse the quality of a single French pre-election poll.
As previously reported on this blog, my PhD student and I are doing a CATI survey on European Identities. Here is how it worked out for us.
The shiny and new version 1.1 of our Stata addon surveybias is out. Surveybias estimates accuracy measures for pre-election polls and similar surveys where the true distribution of some categorical variable is known. Here is the lowdown.
Thanks to the generosity of the Fritz Thyssen Stiftung, we are fielding a telephone survey on European and national identities. Our CATI studio runs on open source software, in the cloud. No, we are not exactly risk-adverse.
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.
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.
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…
All surveys deviate from the true distributions of the variables, but some more so than others. This is particularly relevant in the context of election studies, where the true distribution of the vote is revealed on election night. Jocelyn Evans and I present a method for calculating a scalar measure that neatly summarises such bias for multi-party elections. We also present a Stata module that implements our new method.
Like social networks, multilevel data structures are everywhere once you start thinking about it. People live in neighbourhoods, neighbourhoods are nested in municipalities, which make up provinces – well, you get the picture. Even if we have no substantive interest in their effects, it often makes sense to control for structures in our data to…