6,864 rated or chosen profiles from 429 respondents, in up to 8 tasks of 2 profiles varying on 4 attributes.
| Description | Discrete choice experiment in which 429 adults in Spain chose between two personalised-nutrition service plans that differ in personalisation level, delivery format (traditional or digital), inclusion of an exercise schedule and price. 8 choice sets each, forced choice. |
|---|---|
| Reference | Pérez-Troncoso, D., Epstein, D. M., & Castañeda-García, J. A. (2021). Consumers' preferences and willingness to pay for personalised nutrition. Applied Health Economics and Health Policy, 19(5), 757-767. |
| DOI | 10.1007/s40258-021-00647-3 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.17632/kh2btj3btj |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 429 |
|---|---|
| Rows (one per respondent, task and profile) | 6,864 |
| Tasks per respondent (most) | 8 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 0 |
| Topic | health covid, consumer products |
|---|---|
| A profile represents | product service |
| Country | ES |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| Profile position | recorded in the deposit |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Which of the two personalised-nutrition options do you choose? (paraphrase of the binary dependent variable 'choice') [choice, forced] |
|---|
attr_delivery_formatattr_exercise_scheduleattr_personalisationattr_pricechoicecov_agecov_buy_prob_pctcov_duration_seccov_education_yearscov_gendercov_height_cmcov_income_range_codecov_interest_healthy_nutritioncov_noncommunicable_diseasecov_personal_incomecov_sport_hours_weekcov_weight_kgidprofiletasktrial_block
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("pereztroncoso_2021_pers_nutrition", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("pereztroncoso_2021_pers_nutrition", source="conj")
@article{P_rez_Troncoso_2021, title={Consumers’ Preferences and Willingness to Pay for Personalised Nutrition}, volume={19}, ISSN={1179-1896}, url={http://dx.doi.org/10.1007/s40258-021-00647-3}, DOI={10.1007/s40258-021-00647-3}, number={5}, journal={Applied Health Economics and Health Policy}, publisher={Springer Science and Business Media LLC}, author={Pérez-Troncoso, Daniel and Epstein, David M. and Castañeda-García, José A.}, year={2021}, month=Apr, pages={757–767} }
| 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 |