15,220 rated or chosen profiles from 1,522 respondents, in up to 5 tasks of 2 profiles varying on 9 attributes.
One of 2 tables from the same source; this one is the wave1 table. The others are listed under Related tables.
| Description | Hong Kong respondents (wave 1, before the June 2020 National Security Law; n=1,522) chose between two packages of government responses to the 2019 protest demands bundled with economic relief measures (9 attributes); 5 pairs each, forced choice. |
|---|---|
| Reference | Kobayashi, 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. |
| DOI | 10.1017/S1468109921000256 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/KJBRQG |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,522 |
|---|---|
| Rows (one per respondent, task and profile) | 15,220 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 9 |
| Tasks with no profile chosen | 0 |
| Topic | democracy institutions |
|---|---|
| A profile represents | policy |
| Country | HK |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of the two packages do you prefer? (paraphrase) [choice, forced] |
|---|
attr_amnestyattr_cash_handoutattr_ce_resignationattr_housing_rent_waiverattr_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.
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_wave1", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("kobayashi_2021_hk_demands_wave1", source="conj")
@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} }
| 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 |