13,040 rated or chosen profiles from 13,040 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.
| Description | Danish adults (n=13,040) each read one text vignette about a development the municipal council is considering, randomized in building type (social, owner-occupied, rental housing, offices, retail), floor area (500, 1.000, 10.000) and height (1-7 storeys), and gave support for the project (7-point plus don't know) and four agree/disagree beliefs about its effects. |
|---|---|
| Reference | Larsen, M. V., & Nyholt, N. (2024). Understanding opposition to apartment buildings. Journal of Political Institutions and Political Economy. |
| DOI | 10.1561/113.00000092 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/1ZPAKL |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 13,040 |
|---|---|
| Rows (one per respondent, task and profile) | 13,040 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 3 |
| Topic | housing neighbourhoods |
|---|---|
| A profile represents | policy |
| Country | DK |
| Language shown | da |
| Language of stored levels | da |
| Randomization restrictions | yes (stated by the source): height is worded 'equivalent to N storeys high' for retail premises and 'on N storeys' for the other four types, so the 8 height phrases nest within type |
| Task order | inferred from row order |
| Profile position | inferred from row order |
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. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| rating | Support for the building project (stem: the municipal council is considering whether to allow [development] to be built; 'Jeg er ... byggeprojektet') (translated) [rating, 1 (definitely against (1); 8 = don't know) to 8 (definitely for (7))] |
|---|---|
| rating_cheaper_home | The project will make my home cheaper (translated) [rating, 1 (strongly disagree) to 6 (strongly agree; 6 = don't know)] |
| rating_congestion | The project will create more congestion (translated) [rating, 1 (strongly disagree) to 6 (strongly agree; 6 = don't know)] |
| rating_poor_fit | The project will fit poorly into the area (translated) [rating, 1 (strongly disagree) to 6 (strongly agree; 6 = don't know)] |
| rating_undesirable_residents | The project will attract people to my area whom I do not want here (translated) [rating, 1 (strongly disagree) to 6 (strongly agree; 6 = don't know)] |
attr_heightattr_sizeattr_typecov_birth_yearcov_educationcov_gendercov_housingcov_municipalitycov_survey_weightidprofileratingrating_cheaper_homerating_congestionrating_poor_fitrating_undesirable_residentstask
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("larsen_2024_apartment_opposition", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("larsen_2024_apartment_opposition", source="conj")
@article{Vin_s_Larsen_2024, title={Understanding Opposition to Apartment Buildings}, volume={5}, ISSN={2689-4823}, url={http://dx.doi.org/10.1561/113.00000092}, DOI={10.1561/113.00000092}, number={1}, journal={Journal of Political Institutions and Political Economy}, publisher={Emerald}, author={Vinæs Larsen, Martin and Nyholt, Niels}, year={2024}, month=Sept, pages={29–46} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |