10,080 rated or chosen profiles from 2,527 respondents, in up to 2 tasks of 2 profiles varying on 4 attributes.
| Description | Market vendors in Malawi (face-to-face survey in 128 markets, n=2,527 with answers) compared 2 pairs of hypothetical civil society organizations varying where they were founded, the leader's former profession, funding source and party affiliation; they chose whose meetings they would attend and answered a second (scandal) question about the same pairs. |
|---|---|
| Reference | Hoellerbauer, S. (2023). Why join? How civil society organizations' attributes signal congruence and impact community engagement. Journal of Experimental Political Science, 10(1), 88-99. |
| DOI | 10.1017/XPS.2021.27 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/O6NMGE |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,527 |
|---|---|
| Rows (one per respondent, task and profile) | 10,080 |
| Tasks per respondent (most) | 2 |
| Profiles per task | 2 |
| Attributes | 4 |
| Topic | other |
|---|---|
| A profile represents | organisation |
| Country | MW |
| 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_meeting | Which organization's meetings would you be more willing to attend? (paraphrase) [choice, forced] |
|---|---|
| choice_scandal | Response to scandal question: Organization A or Organization B (paraphrase; wording unknown) [choice, forced] |
attr_foundedattr_fundingattr_leader_former_professionattr_partychoice_meetingchoice_scandalcov_agecov_community_org_membercov_districtcov_educationcov_enumeratorcov_gendercov_hh_incomecov_intend_votecov_literatecov_marketcov_ngo_apathycov_registeredcov_sells_dailycov_servicecov_years_in_marketidprofiletask
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("hoellerbauer_2023_civil_society_orgs", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("hoellerbauer_2023_civil_society_orgs", source="conj")
@article{Hoellerbauer_2021, title={Why Join? How Civil Society Organizations’ Attributes Signal Congruence and Impact Community Engagement}, volume={10}, ISSN={2052-2649}, url={http://dx.doi.org/10.1017/XPS.2021.27}, DOI={10.1017/xps.2021.27}, number={1}, journal={Journal of Experimental Political Science}, publisher={Cambridge University Press (CUP)}, author={Hoellerbauer, Simon}, year={2021}, month=Oct, pages={88–99} }
| 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 |