6,766 responses from 3,349 respondents to 2 items.
One of 70 tables from the same source; this one measures Political party identity. The others are listed under Related tables.
| Description | Political party identification strength (2 items); C19PRC-UK panel, wave(s) 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 | 6,766 |
|---|---|
| Respondents | 3,349 |
| Items | 2 |
| Response categories | 5 |
| Responses per respondent | 2.020 |
| Responses per item | 3,383 |
| Density | 1.010 |
| 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 | Political party identity |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Political party identification strength (2 items adapted from the British Election Study 2015) |
|---|---|
| Mean words per item | 12 |
| Mean characters per item | 67 |
| Mean characters per response | 17.600 |
| Flesch-Kincaid grade level | 7.282 |
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 (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("c19prc_uk_mcbride_2021_partyidentity")
# Python
pip install irw
import irw
df = irw.fetch("c19prc_uk_mcbride_2021_partyidentity")
@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 | v566 |
|---|---|
| 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 v43.0 |