5,596 rated or chosen profiles from 2,798 respondents, in up to 2 tasks of 1 profile varying on 3 attributes.
| Description | 2,798 respondents in Germany, Italy and Poland (March 2021) each rated twice how likely they were to volunteer, and to donate, after a vignette in which a mobilizing actor (friends, local or national aid organization, local administration) displaying an emotion asked for help for older people or people in financial difficulty. |
|---|---|
| Reference | Borbáth, E., & Hutter, S. (2025). Mobilizing individuals in crisis: The role of civil society organizations in volunteer engagement during COVID-19. Journal of Civil Society, 21(4). |
| DOI | 10.1080/17448689.2025.2530108 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/0D9OFW |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,798 |
|---|---|
| Rows (one per respondent, task and profile) | 5,596 |
| Tasks per respondent (most) | 2 |
| Profiles per task | 1 |
| Attributes | 3 |
| Topic | other |
|---|---|
| A profile represents | scenario |
| Country | DE, IT, PL |
| Language shown | de, it, pl |
| Language of stored levels | en |
| Randomization restrictions | yes (stated by the source): the displayed emotion was assigned conditional on the respondent's own pre-measured emotion: randomized convergence (50/50 same as own emotion or different), so emotion shares are unequal (sadness 32%, guilt 4% of the displayed emotions in the data) |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
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.
Outcomes:
| rating | How likely is it that you would volunteer in support of this group? [rating, 0 (extremely unlikely) to 10 (extremely likely)] |
|---|---|
| rating_donation | How likely is it that you would donate money to support ...? (paraphrase of the variable label donation_DV) [rating, 1 (very unlikely) to 11 (very likely)] |
attr_emotionattr_mobilizing_actorattr_recipientcov_agecov_countrycov_gender_codecov_own_emotionidprofileratingrating_donationtasktrial_emotion_matches_own
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("borbath_2025_volunteer_mobilization", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("borbath_2025_volunteer_mobilization", source="conj")
@article{Borb_th_2025, title={Mobilizing individuals in crisis: The role of civil society organizations in volunteer engagement during COVID-19}, volume={21}, ISSN={1744-8697}, url={http://dx.doi.org/10.1080/17448689.2025.2530108}, DOI={10.1080/17448689.2025.2530108}, number={4}, journal={Journal of Civil Society}, publisher={Informa UK Limited}, author={Borbáth, Endre and Hutter, Swen}, year={2025}, month=July, pages={366–386} }
| 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 |