10,992 rated or chosen profiles from 458 respondents, in up to 24 tasks of 2 profiles varying on 5 attributes.
| Description | 458 parents of children under 16 in Ireland (Qualtrics panels, February 2021) each made 12 forced choices between two unscheduled healthcare services (discrete choice experiment, 24 sets in 2 blocks) varying wait, appointment system, telephone advice, who they would see and cost. Outcome: forced choice. |
|---|---|
| Reference | Nicholson, E., McDonnell, T., Conlon, C., De Brún, A., Doherty, E., & McAuliffe, E. (2023). Parent's preferences for unscheduled paediatric healthcare: A discrete choice experiment. Health Expectations, 26(5), 1931-1940. |
| DOI | 10.1111/hex.13802 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.6572717 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 458 |
|---|---|
| Rows (one per respondent, task and profile) | 10,992 |
| Tasks per respondent (most) | 24 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | health covid |
|---|---|
| A profile represents | product service |
| Country | IE |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): Fixed blocked design: 24 choice sets from a Bayesian D-efficient Ngene design, 2 blocks of 12, each respondent one block (block 1 = tasks 1-12, block 2 = tasks 13-24); only the 48 designed profiles occur. Levels are balanced within the design (16/16/16; cost 12/13/11/12). |
| 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 | Please choose the service that you would prefer to attend (paraphrase) [choice, forced] |
|---|
attr_adviceattr_appointmentattr_costattr_waitattr_whochoicecov_agecov_child_conditioncov_child_healthcov_considered_advicecov_considered_appointmentcov_considered_costcov_considered_waitcov_considered_whocov_duration_seccov_educationcov_employmentcov_ethnicitycov_family_statuscov_gendercov_gms_cardcov_healthcare_professionalcov_n_childrencov_private_insurancecov_visits_last_yearcov_youngest_child_ageidprofiletask
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("nicholson_2023_paediatric_care", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("nicholson_2023_paediatric_care", source="conj")
@article{Nicholson_2023, title={Parent’s preferences for unscheduled paediatric healthcare: A discrete choice experiment}, volume={26}, ISSN={1369-7625}, url={http://dx.doi.org/10.1111/hex.13802}, DOI={10.1111/hex.13802}, number={5}, journal={Health Expectations}, publisher={Wiley}, author={Nicholson, Emma and McDonnell, Thérèse and Conlon, Ciara and De Brún, Aoife and Doherty, Edel and McAuliffe, Eilish}, year={2023}, month=June, pages={1931–1940} }
| 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 |