26,202 responses from 2,621 respondents to 10 items.
| Description | Agreement with ten immigration-policy statements written to span the liberal-conservative dimension (5-point, strongly disagree to strongly agree), from a February-March 2020 Lucid sample of US adults used to illustrate ideal-point (unfolding / GGUM) models: middle statements are rejected by both ends for opposite reasons. 26,202 responses from 2,621 respondents (the authors' attention-check and straight-lining filtered sample) on 10 items; covariates ideology, party ID, age band, gender. |
|---|---|
| Reference | Duck-Mayr, J., & Montgomery, J. (2023). Ends against the middle: Measuring latent traits when opposites respond the same way for antithetical reasons. Political Analysis, 31(4), 606-625. https://doi.org/10.1017/pan.2022.33 |
| DOI | 10.1017/pan.2022.33 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/HXORK9 |
| Responses | 26,202 |
|---|---|
| Respondents | 2,621 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 9.997 |
| Responses per item | 2620.200 |
| Density | 1.000 |
| Longitudinal | FALSE |
cov_age_bandcov_gendercov_ideologycov_party_ididitemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("duckmayr_2023_immigration")
# Python
pip install irw
import irw
df = irw.fetch("duckmayr_2023_immigration")
@article{Duck_Mayr_2023, title={Ends Against the Middle: Measuring Latent Traits when Opposites Respond the Same Way for Antithetical Reasons}, volume={31}, ISSN={1476-4989}, url={http://dx.doi.org/10.1017/pan.2022.33}, DOI={10.1017/pan.2022.33}, number={4}, journal={Political Analysis}, publisher={Cambridge University Press (CUP)}, author={Duck-Mayr, JBrandon and Montgomery, Jacob}, year={2023}, month=Jan, pages={606–625} }
| IRW version | v439 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v3.7 |
| Redivis dataset DOI | 10.57761/k0pn-7r67 |
| Manifest pin for this IRW version | v3.6 |
| Metadata source | irw_meta v27.0 |