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.

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.

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.

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.

Polling data is ubiquitous in today's world, but it is is often difficult to easily understand the accuracy of polls. In a recent paper published in Political Analysis, Kai Arzheimer and Jocelyn Evans developed a new methodology for assessing the accuracy of polls in multiparty and multi-candidate elections.

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.

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.

Poorly designed questions can skew results and taint market research. Watch out for these four types of bias. Continue reading...

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.

Polling data is ubiquitous in today's world, but it is is often difficult to easily understand the accuracy of polls. In a recent paper published in Political Analysis, Kai Arzheimer and Jocelyn Evans developed a new methodology for assessing the accuracy of polls in multiparty and multi-candidate elections.