Data documentation
| File name | Type | Description | Link to source |
|---|---|---|---|
| evs5 | .sav | European Values Study; Wave 5 (2017-2021) | 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 |
| 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 |
| 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 |
The datasets can be downloaded by clicking on the file name, or read into R directly from "https://cgmoreh.github.io/HSS8005/data/___" (using a type-appropriate read function and replacing ___ with “File name” and “Type” extension; e.g. haven::read_dta("https://cgmoreh.github.io/HSS8005/data/dataset.dta")).
References
David, F. N. 1955. “Studies in the History of Probability and Statistics i. Dicing and Gaming (a Note on the History of Probability).” Biometrika 42 (1/2): 1–15. https://doi.org/10.2307/2333419.
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.
El-Shagi, Makram, and Alexander Jung. 2015. “Have Minutes Helped Markets to Predict the MPC’s Monetary Policy Decisions?” European Journal of Political Economy 39 (September): 222–34. https://doi.org/10.1016/j.ejpoleco.2015.05.004.
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.
Gelman, Andrew, Jennifer Hill, and Aki Vehtari. 2020. Regression and other stories. Cambridge: Cambridge University Press. https://doi.org/10.1017/9781139161879.
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.
Lord, R. D. 1958. “Studies in the History of Probability and Statistics.: VIII. De Morgan and the Statistical Study of Literary Style.” Biometrika 45 (1/2): 282–82. https://doi.org/10.2307/2333072.
McElreath, Richard. 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. Second. CRC Texts in Statistical Science. Boca Raton: Taylor and Francis, CRC Press.
Mehmetoglu, Mehmet, and Matthias Mittner. 2021. Applied Statistics Using R: A Guide for the Social & Natural Sciences. First. Thousand Oaks: SAGE Publications.
Mulvin, Dylan. 2021. Proxies: The Cultural Work of Standing in. Infrastructures Series. Cambridge, Massachusetts: The MIT Press.
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.
Senn, Stephen. 2003. “A Conversation with John Nelder.” Statistical Science 18 (1): 118–31. https://doi.org/10.1214/ss/1056397489.
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.