1,899 rated or chosen profiles from 1,899 respondents, in up to 1 tasks of 1 profile varying on 5 attributes.
| Description | 1,899 US panel respondents each read one congressional newsletter vignette about a bill (three policy areas) written by a House or Senate Democrat or Republican, saying the bill had passed or was unlikely to pass, with or without blaming the opposing chamber or party; they rated the author, Congress, the chambers, the parties (0-100) and policy support. |
|---|---|
| Reference | Doherty, D., & Harbridge-Yong, L. (2020). The effects of blaming others for legislative inaction on individual and collective evaluations. Legislative Studies Quarterly, 45(1). |
| DOI | 10.1111/lsq.12252 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/XHGDPA |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,899 |
|---|---|
| Rows (one per respondent, task and profile) | 1,899 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 5 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): A blame sentence appears only when the bill is unlikely to pass: four conditions (passed; unlikely to pass with no blame; with the opposing chamber blamed; with the opposing party blamed), crossed with author chamber x party x policy area. The blamed chamber is the one the author is not in. Cells are unequal (policy areas 374/679/848; passed 501, no-blame 495, chamber 443, party 460). |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.
Outcomes:
| rating_author | Your feelings about the legislator who wrote the newsletter (0-100 rating) (paraphrase) [rating, 0 (unknown) to 100 (unknown)] |
|---|---|
| rating_congress | Your feelings about Congress (0-100 rating) (paraphrase) [rating, 0 (unknown) to 100 (unknown)] |
| rating_democrats | Your feelings about Democrats in Congress (0-100 rating) (paraphrase) [rating, 0 (unknown) to 100 (unknown)] |
| rating_house | Your feelings about the House of Representatives (0-100 rating) (paraphrase) [rating, 0 (unknown) to 100 (unknown)] |
| rating_policy_support | Based on what you read about the bill the legislator described in the newsletter ... (wording truncated in the deposit; support for the bill) [rating, 1 (most supportive (stored 1; the do-file recodes 1=4 so higher = more support)) to 4 (least supportive)] |
| rating_republicans | Your feelings about Republicans in Congress (0-100 rating) (paraphrase) [rating, 0 (unknown) to 100 (unknown)] |
| rating_senate | Your feelings about the U.S. Senate (0-100 rating) (paraphrase) [rating, 0 (unknown) to 100 (unknown)] |
attr_author_chamberattr_author_partyattr_bill_statusattr_blameattr_issuecov_agecov_education_codecov_gendercov_income_codecov_party_id7idprofilerating_authorrating_congressrating_democratsrating_houserating_policy_supportrating_republicansrating_senatetask
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("doherty_2020_blame_inaction", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("doherty_2020_blame_inaction", source="conj")
@article{Doherty_2019, title={The Effects of Blaming Others for Legislative Inaction on Individual and Collective Evaluations}, volume={45}, ISSN={1939-9162}, url={http://dx.doi.org/10.1111/lsq.12252}, DOI={10.1111/lsq.12252}, number={1}, journal={Legislative Studies Quarterly}, publisher={Wiley}, author={Doherty, David and Harbridge‐Yong, Laurel}, year={2019}, month=July, pages={69–99} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |