254,904 responses from 39 respondents to 16 items.
| Description | The vignette ratings were collected using an online moral judgment task via an online questionnaire, with participants rating 39 vignettes regarding 16 event features (dimensions), using seven-point Likert scales with fixed-point sliding scales |
|---|---|
| Reference | Rakhmankulova, Z., Asgarov, R., Monahhova, E., Mening, S., Blank, I. B., & Klucharev, V. (2025). Validation of the Russian version of the realistic moral vignettes for studies of moral judgments. Behavior Research Methods, 57(7), 184. |
| DOI | 10.3758/s13428-025-02709-z |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/9k5b8/files/ayz2c |
| Responses | 254,904 |
|---|---|
| Respondents | 39 |
| Items | 16 |
| Response categories | 7 |
| Responses per respondent | 6,536 |
| Responses per item | 15931.500 |
| Density | 408.500 |
| Longitudinal | TRUE |
| age range | Non-human |
|---|---|
| sample | Non-human |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | rus |
| construct name | Moral event features |
dateiditemraterrespsample
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("moralvignettes_rakhmankulova_2025")
# Python
pip install irw
import irw
df = irw.fetch("moralvignettes_rakhmankulova_2025")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |