This article has made rounds in the blogosphere; I heard about it via Slate France through Facebook, where we replotted the data with a friend of mine to conclude that the data are, plainly and simply, rubbish (i.e. it would take several rounds of editing and aggregating to get a reliable statistic out of this mess; disclosure: I use WVS data in class precisely to teach encoding issues!).
This is an excellent example of why you should stay cautious with WVS/EVS data, and more generally with cross-sectional data: the figure for France, for instance (an amazing 23%), is waaaay out of bounds with the EVS 2010 estimate (3%) and previous WVS waves (5% in 1981-84 and 9% later on, when the data are available). Other countries appear to have other coding issues.
See this analysis for a good summary of the issues, and this post for a good quote: “The two caveats that Fisher offered in his post – first, that survey respondents might be lying about their racial views, and second, that the survey data are from different years, depending on the country – only scratch the surface of what is basically a crime against social science perpetrated in broad daylight.”


