I have just pushed through a new version of my R package agrmt to CRAN. It fixes a silly typo in the code that broke the
I have just updated my R-package to measure agreement, polarization, dispersion — whatever you want to call it — in ordered rating scales to R-Forge. Version 1.40 includes more extensive documentation and a long due update of the package vignette. I’ll push it to CRAN in a moment. Every time I work on this package, it strikes me how many times the ‘problem’ has been solved, how different the approaches are, and sadly how often standard deviations are still used.
I have just added an additional document to the replication material for MIPEX as a Measure of Citizenship Models. The paper in the SSQ uses MIPEX data up to 2010, but the MIPEX releases 2012+ use a slightly different question order because a few questions were added and removed. (It’s this updated version we’ve used for the time series of MIPEX/immigration policy in Switzerland 1848 to 2015.) With this, replicating my MIPEX-based measure of citizenship models was no longer straightforward with the more recent MIPEX releases. There’s one important point to consider, though: with the additional questions in the latest MIPEX data, it probably makes sense to include one or two additional (relevant) questions rather than slavishly following the items used in the SSQ paper.
Ruedin, Didier. 2015. “Increasing validity by recombining existing indices: MIPEX as a measure of citizenship models.” Social Science Quarterly 96(2): 629-638. doi:10.1111/ssqu.12162
Ruedin, Didier, Camilla Alberti, and Gianni D’Amato. 2015. “Immigration and integration policy in Switzerland, 1848 to 2014”, Swiss Political Science Review 21(1): 5-22. doi:10.1111/spsr.12144