4,664 responses from 1,166 respondents to 4 items.
| Description | Everyday Discrimination Scale (short form), pre-pandemic recall; C19PRC-UK panel, wave(s) 3 |
|---|---|
| Reference | Bentall, Richard and Shevlin, Mark and McBride, Orla and Murphy, Jamie and Hartman, Todd K and Levita, Liat and Gibson-Miller, Jilly and Mason, Liam and Bennett, Kate (2022). The COVID-19 Psychological Research Consortium Study, 2020-2021. [Data Collection]. Colchester, Essex: UK Data Service. 10.5255/UKDA-SN-855552 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/v2zur/ |
| Responses | 4,664 |
|---|---|
| Respondents | 1,166 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 4 |
| Responses per item | 1,166 |
| Density | 1 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health, Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Everyday discrimination (retrospective) |
cov_agecov_genderdateiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("c19prc_uk_mcbride_2021_eds_prepandemic")
# Python
pip install irw
import irw
df = irw.fetch("c19prc_uk_mcbride_2021_eds_prepandemic")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |