11,992 rated or chosen profiles from 300 respondents, in up to 20 tasks of 2 profiles varying on 4 attributes.

About this table

Description	300 UK adults each made 20 forced choices between two burgers (Option A/B) shown on image cards varying type (normal, plant-based, cell-cultured), price, healthiness and customer star rating, framed as a supermarket or a restaurant purchase (randomized between respondents). Outcome: forced choice.
Reference	Gan, Y. S. (2026). Who chooses alternative meat and where? Understanding how foodscapes and individual variation shape plant-based meat and cell-cultured meat choices using a Discrete Choice Experiment [Data set]. OSF.
Licence	CC BY 4.0
Source data	https://doi.org/10.17605/OSF.IO/PNRHT

Notes

Conjoint table (irw_conjoint). Discrete choice experiment: choice = which burger (Option A or B), forced, no opt-out; question wording not deposited. Fixed Bayesian-efficient design of 20 sets (plant-based and cell-cultured are one Type attribute); supermarket or restaurant framing randomized between respondents (trial_setting), with restaurant prices £10 higher. Level text taken from the choice-card images.

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

Size and shape

Respondents	300
Rows (one per respondent, task and profile)	11,992
Tasks per respondent (most)	20
Profiles per task	2
Attributes	4
Tasks with no profile chosen	0

Design

Topic	consumer products
A profile represents	product service
Country	GB
Language shown	en
Language of stored levels	en
Randomization restrictions	yes (stated by the source): Fixed Bayesian D-efficient idefix design: one version of 20 choice sets x 2 alternatives, the same for every respondent; only these 40 profiles occur. Candidate set excluded plant-based + cell-cultured together (the Type attribute). Level frequencies follow the design.
Task order	unknown
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	unknown [choice, forced]

Columns

attr_healthinessattr_priceattr_ratingattr_typechoicecov_agecov_diet_codecov_duration_mincov_education_codecov_ethnicitycov_gendercov_income_codecov_redmeat_codecov_seafood_codecov_whitemeat_codeidprofiletasktrial_setting

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

Download CSVno account needed Browse on Redivisexplore and query Croissant 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("gan_2026_alternative_meat", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("gan_2026_alternative_meat", source="conj")

How to cite

@article{https://doi.org/10.17605/osf.io/pnrht,
  doi = {10.17605/OSF.IO/PNRHT},
  url = {https://osf.io/pnrht/},
  author = {Gan, Yu Shuang},
  keywords = {Other Psychology, Social and Behavioral Sciences, Psychology, FOS: Psychology, alternative meat, choice modelling, discrete choice experiment, foodscapes, meat consumption, mixed logistic regression, sustainability},
  title = {Who chooses alternative meat and where? Understanding how foodscapes and individual variation shape plant-based meat and cell-cultured meat choices using a Discrete Choice Experiment},
  publisher = {OSF},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

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