15,372 rated or chosen profiles from 427 respondents, in up to 18 tasks of 2 profiles varying on 10 attributes.
| Description | Discrete choice experiment on breast cancer screening programmes: 427 Belarusian women aged 50-69 chose between two screening programmes described by ten attributes (invitation, appointment, information, combining visits, travel and waiting time, doctor familiarity, modality, sensitivity, cost) or neither; 18 tasks each, choice with opt-out. |
|---|---|
| Reference | Mandrik, O., Yaumenenka, A., Herrero, R., & Jonker, M. F. (2019). Population preferences for breast cancer screening policies: Discrete choice experiment in Belarus. PLOS ONE, 14(11), e0224667. |
| DOI | 10.1371/journal.pone.0224667 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.15131/shef.data.10029185.v1 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 427 |
|---|---|
| Rows (one per respondent, task and profile) | 15,372 |
| Tasks per respondent (most) | 18 |
| Profiles per task | 2 |
| Attributes | 10 |
| Tasks with no profile chosen | 1,475 |
| Topic | health covid |
|---|---|
| A profile represents | policy |
| Country | BY |
| Language shown | ru |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): in each choice set 7 of the 10 attributes are held at the same level in both programmes (level overlap; exactly 3 differ in every task); the sensitivity of manual examination cannot exceed that of mammography |
| 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:
| choice | Which screening would you select: A or B? (or: I don't choose anything of the proposed) [choice, opt-out allowed] |
|---|
attr_appointmentattr_combiningattr_costattr_doctorattr_informationattr_invitationattr_modalityattr_sensitivityattr_travel_timeattr_waiting_timechoicecov_agecov_educationidprofiletasktrial_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("mandrik_2019_breast_screening", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("mandrik_2019_breast_screening", source="conj")
@article{Mandrik_2019, title={Population preferences for breast cancer screening policies: Discrete choice experiment in Belarus}, volume={14}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0224667}, DOI={10.1371/journal.pone.0224667}, number={11}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Mandrik, Olena and Yaumenenka, Alesya and Herrero, Rolando and Jonker, Marcel F.}, editor={Rosa Garcia, Alfonso}, year={2019}, month=Nov, pages={e0224667} }
| 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 |