Someone asked me for the syntax/data required to replicate my old Electoral Studies piece on party identification in Germany 1977-2002. Its slightly preposterous title not withstanding, as of today it holds a proud 18th rank in Electoral Studies’ list of its current “Top 25 hottest articles” (bringing Web 2.0 and the sciences together was always bound to end up in disaster). So in the very unlikely event that you have been holding your breath for this, breath out: I finally got around to de-clutter my old files and uploaded the replication information to my dataverse:

Kai Arzheimer, 2010, “Replication data for: Dead Men Walking? Party Identity in Germany 1977-2002″, hdl:1902.1/15091 UNF:5:AkxnvIlPgabqb2zsZ39k1A==

A couple of months ago, 270 of my flock kindly took part in a survey on their student experience. Today, I finally came around to posting the results of said survey, which are of considerable (if localised) interest (in German).

Statistics and Data links roundup for January through September 2010
Continue reading “Statistics and Data links roundup for January through September 2010” »

I’m teaching a lecture course on Political Sociology at the moment, and because everyone is so excited about social capital and social network analysis these days, I decided to run a little online experiment with and on my students. The audience is large (at the beginning of this term, about 220 students had registered for this lecture series) and quite diverse, with some students still in their first year, others in their second, third or fourth and even a bunch of veterans who have spent most of their adult lives in university education.

Who knows whom in a large group of learners?

Continue reading “Which of my students are most likely to gang up against me?” »

Being a political scientist is not considered an exciting occupation by people who have a life, and  as party conversation topics go, electoral systems are pretty lousy. But with LibDem support somewhere in the high 20s (if the polls are to be believed), normal people start to wonder why 26% of the vote should give them 12% of the seats, while 28% of the vote for Labour would amount to just under 40% of the seats (you can fiddle with the numbers at the wonderful BBC’s election pages).

Sixteen months ago, we started the Political Science Peer-Review Survey. This week, the input form was shut down. That is about three quarters of a year later than expected, but then again, I underestimated the fallout of my move back to Germany. Moreover, until a few weeks ago there was still a tiny trickle of replies coming in. So far, we have found few major problems with the data. The RA has spotted two instances where the respondent somehow managed to save the data at various stages of the interview, thereby inflating the number of respondents. Moreover, it’s amazing how many political scientists read ‘percent’ and give absolute numbers

Right now, the RA is enjoying is well-deserved holiday. He’ll be back in four weeks time, and we hope to have a data set ready for distribution by June.

Over the last two decades I have accumulated thousands of references that have travelled with me all the way from bibtex-mode through Endnote, Citavi and some more obscure packages until we finally came full circle and ended up in bibtex-mode again. To my mild surprise, my use of (some) keywords has been fairly consistent so that it was relatively easy (using make, bibtool and bibtex2html) to create a 380+ entries strong online bibliography on the Extreme Right in Western Europe. Enjoy.

Source: Long/Freese, Regression Models for Categorical Dependent Variables Using Stata

I use emacs/for all my textprocessing needs, and for the last four or five years, I have created all my slides with Till Tantaus excellent “beamer” class. At the moment, I’m teaching a 2nd year stats course (imagine doing this with PowerPoint – the horror! the horror!), so I sometimes use graphs from the assigned text like this one from Long&Freese that illustrates the latent variable/threshold interpretation of the binary logit model. The message should be fairly clear: depends on andfollows a standard logistic distribution around its conditional mean.

Continue reading “All singing, all dancing 3d function plots with beamer, pgfplots and animate.sty” »

I’m teaching an introductory SNA class this year. Following a time-honoured tradition, I conducted a small network survey at the beginning of the class using Limesurvey. Getting the data from Limesurvey to Stata via CSV was easy enough. Here is the data set. But how does one get the data from Stata to Pajek for analysis? Actually, it’s quite easy.

First, we need to change the layout of the data. In the data set, there is one record for each of the 13 respondent. Each record has 13 variables, one for each (potential) arc connecting the respondent to other students in the class. This is equivalent to Stata’s “wide” form. Stata’s reshape command will happily re-arrange the data to the “long” form, with one record for each arc. This is what Pajek requires.

Continue reading “How to get from Stata to Pajek” »

Statistics and Data links roundup for November 23rd through December 29th:

• The Data and Story Library – DASL (pronounced “dazzle”) is an online library of datafiles and stories that illustrate the use of basic statistics methods. We hope to provide data from a wide variety of topics so that statistics teachers can find real-world examples that will be interesting to their students. Use DASL’s powerful search engine to locate the story or datafile of interest.
• Drawing graphs using tikz/pgf & gnuplot | politicaldata.org -