4,664 responses from 1,166 respondents to 4 items.
One of 70 tables from the same source; this one measures Everyday discrimination. The others are listed under Related tables.
| Description | Everyday Discrimination Scale (short form), during pandemic; 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 |
This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
date | IRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute). | not traced |
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_gender | Covariate | not traced |
What item codes and covariate values stand for is in one of the 5 codebook files in the source deposit.
Or load it directly in R or Python:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("c19prc_uk_mcbride_2021_eds_duringpandemic")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("c19prc_uk_mcbride_2021_eds_duringpandemic")
@misc{https://doi.org/10.5255/ukda-sn-855552,
doi = {10.5255/UKDA-SN-855552},
url = {http://reshare.ukdataservice.ac.uk/id/eprint/855552},
author = {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},
title = {The COVID-19 Psychological Research Consortium Study, 2020-2021},
publisher = {UK Data Service},
year = {2022}
}
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v37.0 |