4,199 responses from 221 respondents to 19 items.
| Description | Perceived Injustice scale with 19 self-report items rated on a 5-point Likert scale (0 to 4). |
|---|---|
| Reference | Mourin, C., & Mozumder, M. K. (2024). Development of a new perceived injustice scale for Bangla speaking population. PLoS ONE, 19(10), e0311272. https://doi.org/10.1371/journal.pone.0311272 |
| DOI | 10.1371/journal.pone.0311272 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/4y7fc/?view_only= |
| Responses | 4,199 |
|---|---|
| Respondents | 221 |
| Items | 19 |
| Response categories | 5 |
| Responses per respondent | 19 |
| Responses per item | 221 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ben |
| construct name | Perceived Injustice Scale |
cov_injusticeiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("perceived_injustice_mourin")
# Python
pip install irw
import irw
df = irw.fetch("perceived_injustice_mourin")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |