8,412 rated or chosen profiles from 701 respondents, in up to 6 tasks of 2 profiles varying on 4 attributes.
One of 4 tables from the same source; this one is the good_conflict_news table. The others are listed under Related tables.
| Description | US Prolific respondents (n = 701, fielded 2024-08-12) chose between two news stories in each of 6 tasks in the good conflict conjoint, with randomized headline and note (the authors' value labels, e.g. 'Good: Eye to Eye'), news outlet and photo (authors' description). One forced choice per task. |
|---|---|
| Reference | Darr, J. P., & Robinson, S. (2026). Assessing civic journalism training: A mixed-method applied research study. Political Communication. |
| DOI | 10.1080/10584609.2026.2715698 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/WBOZEL |
chosen), no opt-out; question wording not in the deposit. Headline and note are the authors' value labels (headline stored as codes GC1/GC2/GC bad 1/GC bad 2), not the displayed wording; photo levels describe photographs. Qualtrics Conjoint with 260 design versions (trial_design_version); restrictions and level probabilities undocumented. Respondents can recur across the four darr_2026 tables but IDs are not linkable.These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 701 |
|---|---|
| Rows (one per respondent, task and profile) | 8,412 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 0 |
| Topic | political communication |
|---|---|
| A profile represents | message |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | unknown [choice, forced] |
|---|
attr_headlineattr_noteattr_photoattr_sourcechoicecov_birth_yearcov_duration_seccov_gendercov_hispcov_hisp_typecov_party_idcov_pid_codecov_pid_leancov_pid_strengthcov_pol_interestcov_racecov_residenceidprofiletasktrial_design_version
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("darr_2026_good_conflict_news", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("darr_2026_good_conflict_news", source="conj")
@article{Darr_2026, title={Assessing Civic Journalism Training: A Mixed-Method Applied Research Study}, ISSN={1091-7675}, url={http://dx.doi.org/10.1080/10584609.2026.2715698}, DOI={10.1080/10584609.2026.2715698}, journal={Political Communication}, publisher={Informa UK Limited}, author={Darr, Joshua P. and Robinson, Sue}, year={2026}, month=Aug, pages={1–20} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |