donnan_2023_cannabis_flower

14,256 rated or chosen profiles from 891 respondents, in up to 8 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionCanadian adults who had bought cannabis in the past year (Angus Reid online panel, October 2021; 891 respondents) chose between two hypothetical dried flower cannabis products (price, packaging, moisture, potency, recommendation source, package information, Health Canada regulation) in 8 forced-choice tasks; one of four DCEs in the same survey.
ReferenceDonnan, J., Johnston, K., Najafizada, M., & Bishop, L. (2023). Drivers of purchase decisions among consumers of dried flower cannabis products: A discrete choice experiment. Journal of Studies on Alcohol and Drugs, 84(5).
DOI10.15288/jsad.22-00269
LicenceCC BY-NC 4.0
Source datahttps://doi.org/10.5683/SP3/A55JZ8

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents891
Rows (one per respondent, task and profile)14,256
Tasks per respondent (most)8
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicconsumer products
A profile representsproduct service
CountryCA
Language shownen, fr
Language of stored levelsen
Randomization restrictionsyes (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 orderrecorded in the deposit
Profile positionrecorded 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:

choiceunknown [choice, forced]

Columns

attr_moistureattr_package_infoattr_packagingattr_potencyattr_priceattr_recommendationattr_regulated_health_canadachoicecov_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.

Get the data

Licence: CC BY-NC 4.0 — non-commercial use only.

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_2023_cannabis_flower", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("donnan_2023_cannabis_flower", source="conj")

How to cite

@article{Donnan_2023, title={Drivers of Purchase Decisions Among Consumers of Dried Flower Cannabis Products: A Discrete Choice Experiment}, volume={84}, ISSN={1938-4114}, url={http://dx.doi.org/10.15288/jsad.22-00269}, DOI={10.15288/jsad.22-00269}, number={5}, journal={Journal of Studies on Alcohol and Drugs}, publisher={Alcohol Research Documentation, Inc.}, author={Donnan, Jennifer R. and Johnston, Karissa and Najafizada, Maisam and Bishop, Lisa D.}, year={2023}, month=Sept, pages={744–753} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0