christensen_2021_online_platforms

12,576 rated or chosen profiles from 1,048 respondents, in up to 6 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionPaired conjoint on online participatory platforms: 1,048 Finnish adults (Qualtrics panel, 2019) chose between two hypothetical platforms six times, varying discussions, interaction with politicians, information, decision-making role, identity verification, anonymity and accessibility; outcomes are a forced choice and whether they would participate on the chosen platform.
ReferenceChristensen, H. S. (2021). A conjoint experiment of how design features affect evaluations of participatory platforms. Government Information Quarterly, 38(1), 101538.
DOI10.1016/j.giq.2020.101538
LicenceCC BY 4.0
Source datahttps://osf.io/fm9xp/

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

Respondents1,048
Rows (one per respondent, task and profile)12,576
Tasks per respondent (most)6
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicdemocracy institutions
A profile representsproduct service
CountryFI
Language shownfi
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceChoose from the alternatives below the platform you would like to see implemented. (translated) [choice, forced]
rating_participateWould you also participate on the selected platform? (paraphrase) [rating, 0 (no) to 1 (yes)]

Columns

attr_accessibilityattr_anonymityattr_discussionsattr_informationattr_interactionattr_roleattr_verificationchoicecov_age_groupcov_internet_timeidprofilerating_participatetask

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 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("christensen_2021_online_platforms", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("christensen_2021_online_platforms", source="conj")

How to cite

@article{Christensen_2021, title={A conjoint experiment of how design features affect evaluations of participatory platforms}, volume={38}, ISSN={0740-624X}, url={http://dx.doi.org/10.1016/j.giq.2020.101538}, DOI={10.1016/j.giq.2020.101538}, number={1}, journal={Government Information Quarterly}, publisher={Elsevier BV}, author={Christensen, Henrik Serup}, year={2021}, month=Jan, pages={101538} }

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