57,636 responses from 4,949 respondents to 9 items.
| Description | Trust in COVID-19 information sources; C19PRC-UK panel, wave(s) 1, 2, 3, 4 |
|---|---|
| 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 | 57,636 |
|---|---|
| Respondents | 4,949 |
| Items | 9 |
| Response categories | 4 |
| Responses per respondent | 11.646 |
| Responses per item | 6,404 |
| Density | 1.294 |
| 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 | Trust in information sources |
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_trustsource")
# Python
pip install irw
import irw
df = irw.fetch("c19prc_uk_mcbride_2021_trustsource")
| 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 |