23,432 rated or chosen profiles from 11,716 respondents, in up to 2 tasks of 1 profile varying on 4 attributes.
| Description | Online quota-sample respondents in 10 European countries and the USA (2016, n = 11,716) each read one employment and one education vignette about a protagonist who decides to use a cognitive enhancer, with randomized gender, enhancer type (pill or brain-stimulation device), current performance and efficacy (10% or 50%), and rated whether they would make the same choice (0-10). |
|---|---|
| Reference | Bard, I., Gaskell, G., Allansdottir, A., da Cunha, R. V., Eduard, P., Hampel, J., Hildt, E., Hofmaier, C., Kronberger, N., Laursen, S., Meijknecht, A., Nordal, S., Quintanilha, A., Revuelta, G., Saladié, N., Sándor, J., Santos, J. B., Seyringer, S., Singh, I., Somsen, H., Toonders, W., Torgersen, H., Torre, V., Varju, M., & Zwart, H. (2018). Bottom up ethics - Neuroenhancement in education and employment. Neuroethics, 11(3), 309-322. |
| DOI | 10.1007/s12152-018-9366-7 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.1166066 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 11,716 |
|---|---|
| Rows (one per respondent, task and profile) | 23,432 |
| Tasks per respondent (most) | 2 |
| Profiles per task | 1 |
| Attributes | 4 |
| Topic | other |
|---|---|
| A profile represents | scenario |
| Country | AT, DK, DE, HU, IS, IT, NL, PT, ES, GB, US |
| Language shown | de, da, hu, is, it, nl, pt, es, en |
| Language of stored levels | en |
| Task order | inferred from row order |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| rating | In (name of protagonist)'s shoes, would you make the same choice? [rating, 0 (unknown) to 10 (unknown)] |
|---|
attr_efficacyattr_enhancerattr_genderattr_performancecov_age_groupcov_claim_achievementcov_claim_cohesioncov_claim_commercialcov_claim_competitioncov_claim_controlcov_claim_copedemandscov_claim_fascinatingcov_claim_naturalabilitycov_claim_ne2allcov_claim_neverkidscov_claim_onlymedicalcov_claim_protectioncov_claim_transgresscov_claim_wayoutcov_countrycov_gendercov_uni_degreeidprofileratingtasktrial_context
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("bard_2018_neuroenhancement", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("bard_2018_neuroenhancement", source="conj")
@article{Bard_2018, title={Bottom Up Ethics - Neuroenhancement in Education and Employment}, volume={11}, ISSN={1874-5504}, url={http://dx.doi.org/10.1007/s12152-018-9366-7}, DOI={10.1007/s12152-018-9366-7}, number={3}, journal={Neuroethics}, publisher={Springer Science and Business Media LLC}, author={Bard, Imre and Gaskell, George and Allansdottir, Agnes and da Cunha, Rui Vieira and Eduard, Peter and Hampel, Juergen and Hildt, Elisabeth and Hofmaier, Christian and Kronberger, Nicole and Laursen, Sheena and Meijknecht, Anna and Nordal, Salvör and Quintanilha, Alexandre and Revuelta, Gema and Saladié, Núria and Sándor, Judit and Santos, Júlio Borlido and Seyringer, Simone and Singh, Ilina and Somsen, Han and Toonders, Winnie and Torgersen, Helge and Torre, Vincent and Varju, Márton and Zwart, Hub}, year={2018}, month=May, pages={309–322} }
| 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 |