11,453 comparisons among 723 agents.
| Description | Ideological comparisons of German MPs |
|---|---|
| Reference | Guinaudeau, Benjamin; Breunig, Christian, 2024, "Replication Data for: Measuring Legislators’ Ideological Position in Large Chambers using Pairwise-Comparisons", https://doi.org/10.7910/DVN/0ULECU, Harvard Dataverse, V1 |
| DOI | 10.1017/psrm.2024.68 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/0ULECU |
| Comparisons | 11,453 |
|---|---|
| Agents | 723 |
agent_aagent_a_cov_partyagent_bagent_b_cov_partyraterrater_cov_partywinner
Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("irw")
library(irw)
df <- irw_fetch("guinaudeau2024_largechambers", source = "comp")
# Python
pip install irw
import irw
df = irw.fetch("guinaudeau2024_largechambers", source="comp")
Or in Stata, which reads the same no-account CSV as the button above:
* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")
irw_fetch guinaudeau2024_largechambers, clear source(comp)
@article{Breunig_2025, title={Measuring legislators’ ideological position in large chambers using pairwise-comparisons}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2024.68}, DOI={10.1017/psrm.2024.68}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Breunig, Christian and Guinaudeau, Benjamin}, year={2025}, month=jan, pages={1–18} }
| IRW version | v712 |
|---|---|
| Redivis dataset | irw_competitions v7.1 |
| Redivis dataset DOI | 10.57761/3r1w-t660 |
| Manifest pin for this IRW version | v7.1 |
| Metadata source | irw_meta v68.0 |