kobayashi_2021_hk_demands_wave2

15,410 rated or chosen profiles from 1,541 respondents, in up to 5 tasks of 2 profiles varying on 13 attributes.

One of 2 tables from the same source; this one is the wave2 table. The others are listed under Related tables.

About this table

DescriptionHong Kong respondents (wave 2, after the June 2020 National Security Law; n=1,541) chose between two packages of government responses to the 2019 protest demands bundled with economic relief measures (13 attributes; plus NSL enforcement: target, imprisonment term, jury trial, authority in charge); 5 pairs each, forced choice.
ReferenceKobayashi, T., Song, J., & Chan, P. (2021). Does repression undermine opposition demands? The case of the Hong Kong National Security Law. Japanese Journal of Political Science, 22(4), 268-286.
DOI10.1017/S1468109921000256
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/KJBRQG

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

Respondents1,541
Rows (one per respondent, task and profile)15,410
Tasks per respondent (most)5
Profiles per task2
Attributes13
Tasks with no profile chosen0

Design

Topicdemocracy institutions
A profile representspolicy
CountryHK
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two packages do you prefer? (paraphrase) [choice, forced]

Columns

attr_amnestyattr_cash_handoutattr_ce_resignationattr_housing_rent_waiverattr_nsl_authorityattr_nsl_imprisonmentattr_nsl_jury_trialattr_nsl_targetattr_police_inquiryattr_rates_waiverattr_rioter_classificationattr_tax_reductionattr_universal_suffragechoicecov_party_ididprofiletask

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("kobayashi_2021_hk_demands_wave2", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("kobayashi_2021_hk_demands_wave2", source="conj")

How to cite

@article{Kobayashi_2021, title={Does repression undermine opposition demands? The case of the Hong Kong National Security Law}, volume={22}, ISSN={1474-0060}, url={http://dx.doi.org/10.1017/S1468109921000256}, DOI={10.1017/s1468109921000256}, number={4}, journal={Japanese Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Kobayashi, Tetsuro and Song, Jaehyun and Chan, Polly}, year={2021}, month=Oct, pages={268–286} }

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