19,512 rated or chosen profiles from 1,626 respondents, in up to 6 tasks of 2 profiles varying on 6 attributes.
| Description | Canadian adults who had bought cannabis in the past year (Angus Reid online panel, October 2021; 1,626 respondents) chose between two hypothetical cannabis retailers (discounts, product information, customer service, proximity, product variety, provincial regulation) in 6 forced-choice tasks; one of four DCEs in the same survey. |
|---|---|
| Reference | Donnan, J., Downey, M., Johnston, K., Najafizada, M., & Bishop, L. (2024). Examining attributes of retailers that influence where cannabis is purchased: A discrete choice experiment. Journal of Cannabis Research. |
| DOI | 10.1186/s42238-023-00204-w |
| Licence | CC BY-NC 4.0 |
| Source data | https://doi.org/10.5683/SP3/A55JZ8 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,626 |
|---|---|
| Rows (one per respondent, task and profile) | 19,512 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | consumer products |
|---|---|
| A profile represents | organisation |
| Country | CA |
| Language shown | en, fr |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): fixed blocked design: 300 Sawtooth D-efficient versions of the tasks, one version per respondent (design file); no prohibitions documented |
| 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 | You are going to make a cannabis purchase from a store either in person or online, which of the following locations would you choose? While some options may not seem possible, assume both options are available as presented. [choice, forced] |
|---|
attr_customer_serviceattr_pricesattr_product_infoattr_product_varietyattr_provincially_regulatedattr_proximitychoicecov_age_groupcov_cannabis_freqcov_duration_seccov_educationcov_gendercov_incomecov_provincecov_sex_at_birthcov_urban_ruralidprofiletask
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.
Licence: CC BY-NC 4.0 — non-commercial use only.
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("donnan_2024_cannabis_retailer", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("donnan_2024_cannabis_retailer", source="conj")
@article{Donnan_2024, title={Examining attributes of retailers that influence where cannabis is purchased: a discrete choice experiment}, volume={6}, ISSN={2522-5782}, url={http://dx.doi.org/10.1186/s42238-023-00204-w}, DOI={10.1186/s42238-023-00204-w}, number={1}, journal={Journal of Cannabis Research}, publisher={Springer Science and Business Media LLC}, author={Donnan, Jennifer R. and Downey, Molly and Johnston, Karissa and Najafizada, Maisam and Bishop, Lisa D.}, year={2024}, month=Feb }
| 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 |