If you are interested in the distribution of value orientations within Europe (Western, Central, Eastern), and if you read German (I know that is a lot to ask for), the following chapter draft might be of interest (PDF). The final version will appear in Silke I. Keil/Jan W. van Deth (Eds.): Deutschlands Metamorphosen. Einheit und Differenzen in europäischer Perspektive. Nomos: Baden-Baden, 2011. And yes, I do realise that this provides a somewhat ironic corollary to my previous post  on the potential futility of political culture research.

Europa als Wertegemeinschaft? Ost und West im Spiegel des „Schwartz Value Inventory“

1 Einleitung und Fragestellung

Werte bzw. Wertorientierungen gehören zu den zentralen Konzepten der vergleichenden Politikwissenschaft. Von Beginn der Umfrageforschung an wurden die Orientierungen gegenüber den zentralen Werten ihrer jeweiligen Gesellschaft immer wieder empirisch untersucht. Seit den 1970er Jahren wurde dabei zumeist auf die von Ronald Inglehart (u. a. 1971; 1989; 1997) entwickelten Konzepte und Instrumente zurückgegriffen, insbesondere auf die verkürzte Variante seiner Wertebatterie („Inglehart-Index“), die nicht nur in zahllosen nationalen, sondern auch in der Mehrzahl der großen internationalen Einstellungsstudien routinemäßig mitläuft (z. B. Eurobarometer, ISSP, EES, EVS, WVS).

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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?

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Should one weight their survey data? Is it worth the effort? The short answer must be ‘maybe’ or ‘it depends’. A slightly longer and much more useful answer was given by Leslie Kish in his enormously helpful paper ‘Weighting: Why, when and how’. Today (well, actually I submitted the final manuscript 2.5 years ago – that’s scientific progress for you!), I have added my own two cent with a short chapter that looks at the effects and non-effects of common weighting procedures (in German). The bottom line is that if you employ the usual weighting variables (age, gender, education and maybe class or region) as controls in your regression, weighting will make next to no difference but might mess with your standard errors.
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