HSS8005
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Data documentation

File name Type Description Link to source
evs2017 .Rds European Values Study; Wave 5 (2017-2021) Source
wvs56 .Rds Worlds Values Survey; combined Wave 5 and 6 Source
osterman .dta Replication data for Österman (2021), based on European Social Survey Rounds 1-9 data Data source
Open access article
Supplementary materials
LaddLenz .dta Replication data for Ladd and Lenz (2009), based on British Election Panel Study data. Included in Hainmueller (2012) Source
EverydayTrust .Rds Replication data for Weiss et al. (2021) Source
Valentino17 .dta Replication data for Valentino et al. (2019), based on original data collected through YouGov in 11 countries. The original dataset provided by the authors is called imm.bjpols.dta and the original analysis was performed in Stata. Data source
Open access article
Supplementary materials
Ejrnaes21 .dta Replication data for Ejrnæs and Jensen (2021), based on data from the European Social Survey Round 8. The original dataset provided by the authors is called G&O_Final.tab and the original analysis was performed in Stata. Data source
Open access article
Supplementary materials
workout .Rds Example dataset from Mehmetoglu and Mittner (2021); a combined version of the original workout2 and workout3 datasets included in the {astatur} package Data source
galtonpeas .Rds Data underpinning a paper presented by Sir Francis Galton to the Royal Institute on February 9, 1877, summarising his experiments on sweet peas in which he compared the size of peas produced by parent plants to those produced by offspring plants. Source
galton1886 .dta Sir Francis Galton’s famous data on the heights or parents and their children underpinning his 1886 paper (Galton 1886). Source and more info
berkeley .csv Data underpinning the classic Sex Bias in Graduate Admissions: Data from Berkeley paper by Bickel, Hammel and O’Connell (1975). Data source
Original article

References

Ejrnæs, Anders, and Mads Dagnis Jensen. 2021. “Go Your Own Way: The Pathways to Exiting the European Union.” Government and Opposition, February, 1–23. https://doi.org/10.1017/gov.2020.37.
Galton, Francis. 1886. “Regression Towards Mediocrity in Hereditary Stature.” The Journal of the Anthropological Institute of Great Britain and Ireland 15: 246–63. https://doi.org/10.2307/2841583.
Hainmueller, Jens. 2012. “Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies.” Political Analysis 20 (1): 25–46. https://doi.org/10.1093/pan/mpr025.
Ladd, Jonathan McDonald, and Gabriel S. Lenz. 2009. “Exploiting a Rare Communication Shift to Document the Persuasive Power of the News Media.” American Journal of Political Science 53 (2): 394–410. https://doi.org/10.1111/j.1540-5907.2009.00377.x.
Mehmetoglu, Mehmet, and Matthias Mittner. 2021. Applied Statistics Using R: A Guide for the Social & Natural Sciences. First. Thousand Oaks: SAGE Publications.
Österman, Marcus. 2021. “Can We Trust Education for Fostering Trust? Quasi-experimental Evidence on the Effect of Education and Tracking on Social Trust.” Social Indicators Research 154 (1): 211–33. https://doi.org/10.1007/s11205-020-02529-y.
Valentino, Nicholas A., Stuart N. Soroka, Shanto Iyengar, Toril Aalberg, Raymond Duch, Marta Fraile, Kyu S. Hahn, et al. 2019. “Economic and Cultural Drivers of Immigrant Support Worldwide.” British Journal of Political Science 49 (4): 1201–26. https://doi.org/10.1017/S000712341700031X.
Weiss, Alexa, Corinna Michels, Pascal Burgmer, Thomas Mussweiler, Axel Ockenfels, and Wilhelm Hofmann. 2021. “Trust in Everyday Life.” Journal of Personality and Social Psychology 121: 95–114. https://doi.org/10.1037/pspi0000334.