15,036 rated or chosen profiles from 2,506 respondents, in up to 6 tasks of 1 profile varying on 8 attributes.
| Description | Recruiters in Germany, Norway, Poland and Romania (2024-2025, n=2,506) each rated 6 vignettes of fictional job candidates varying referral, gender, nationality (native/Ukrainian/Syrian, Nepali or Belarusian), education location, language level, partnership, parenthood and experience: 0-10 likelihood of interview and of employment, plus a final comparison of the two top-rated candidates. |
|---|---|
| Reference | Buttler, D., Imdorf, C., Bjørnshagen, V., et al. (2026). Hiring discrimination in the organisational context: A harmonized factorial survey dataset from four European countries (Germany, Norway, Poland, Romania). Scientific Data, 13, 896. |
| DOI | 10.1038/s41597-026-07187-2 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.17605/OSF.IO/74Q69 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,506 |
|---|---|
| Rows (one per respondent, task and profile) | 15,036 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 1 |
| Attributes | 8 |
| Topic | labour hiring |
|---|---|
| A profile represents | person |
| Country | DE, NO, PL, RO |
| Language shown | de, no, pl, ro |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): fixed blocked design (SAS %Mktex, 144 vignettes in 24 decks of 6); native candidates never educated abroad and never at B2 language level (two implausible combinations ruled out by design), so education location and language level are 2:1 (host/C2 vs abroad/B2); nationality levels 1/3 each |
| 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_employ | How likely is that this person would be employed given the needs and characteristics of your organisation/ organisation you recruit for? (0 – very unlikely; 10 – very likely) [rating, 0 (very unlikely) to 10 (very likely)] |
|---|---|
| rating_final_comparison | If you had to choose one of the two candidates presented below, which candidate would you prefer for the position of (chosen job), given the needs and characteristics of your organisation/ organisation you recruit for? (asked once, of the two highest-d11 candidates; raw codes 0 = not in the comparison, 1 = best candidate, 2 = 2nd best candidate) [rating, 0 (not chosen (not in the comparison)) to 2 (2nd best candidate)] |
| rating_interview | How likely is that you will invite this person for the interview given the needs and characteristics of your organisation/ organisation you recruit for? (0 – very unlikely; 10 – very likely) [rating, 0 (very unlikely) to 10 (very likely)] |
attr_education_locationattr_experienceattr_genderattr_language_levelattr_originattr_parenthoodattr_partnershipattr_referralcov_age_groupcov_branchcov_childcov_compethncov_compsexcov_countrycov_divactcov_divact1cov_divact2cov_divact3cov_divmes1cov_divmes2cov_divmes3cov_divmes4cov_divmngcov_divsupportcov_duration_seccov_eduhrcov_ethncov_expnocov_flag_commentcov_gendercov_hrdepcov_jbhrcov_jbtitlecov_jobcov_loccov_ownercov_panelcov_posdevcov_posflex1cov_posflex2cov_posflex3cov_posgreed1cov_posgreed2cov_posgreed3cov_posgreed4cov_posintercov_posoutcov_rchadcwebcov_rchadmedcov_rchadportcov_rchadsoccov_rchagcov_rchempcov_rchhuntcov_rchnetexcov_rchothcov_rchoutcov_rchuefcov_rcper1cov_rcper2cov_rcper3cov_rcper4cov_rcper5cov_rcper6cov_rcper7cov_rcper8cov_rcper9cov_recdisccov_recrcritcov_recrdoccov_rtai1cov_rtai2cov_rtcertcov_rtcontcov_rtcovcov_rtcvcov_rtedrefcov_rtemprcov_rtemprefcov_rtintcov_rtothcov_rtsoccov_rttest1cov_rttest2cov_sdr1cov_sdr2cov_sdr3cov_sdr4cov_sdr5cov_sectcov_sizecov_sum_of_flagscov_tertiary_degreeidprofilerating_employrating_final_comparisonrating_interviewtasktrial_d1_ordertrial_decktrial_duration_sectrial_vignette
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("buttler_2026_hiring_vignettes", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("buttler_2026_hiring_vignettes", source="conj")
@article{Buttler_2026, title={Hiring Discrimination in the Organisational Context: A Harmonized Factorial Survey Dataset from Four European Countries (Germany, Norway, Poland, Romania)}, volume={13}, ISSN={2052-4463}, url={http://dx.doi.org/10.1038/s41597-026-07187-2}, DOI={10.1038/s41597-026-07187-2}, number={1}, journal={Scientific Data}, publisher={Springer Science and Business Media LLC}, author={Buttler, Dominik and Imdorf, Christian and Bjørnshagen, Vegar and Cosciug, Anatolie and Lipowska, Katarzyna and Magda, Iga and Palczyńska, Marta and Smoter, Mateusz and Ayllón, Sara and Bell, Justyna and Krząkała, Mateusz and Precupetu, Iuliana and Radogna, Rosa Maria and Rogstad, Jon and Samuel, Robin and Tufa, Laura and Valls, Ona and Wessel, Nick}, year={2026}, month=Apr }
| 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 |