c19prc_uk_mcbride_2021_mmos_ss

15,776 responses from 1,972 respondents to 8 items.

One of 70 tables from the same source; this one measures Perceived social support. The others are listed under Related tables.

About this table

DescriptionModified Medical Outcomes Social Support Survey (mMOS-SS); C19PRC-UK panel, wave(s) 3
ReferenceBentall, 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
LicenceCC BY 4.0
Source datahttps://osf.io/v2zur/

Size and shape

Responses15,776
Respondents1,972
Items8
Response categories5
Responses per respondent8
Responses per item1,972
Density1
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleTargeted/specific
construct typeAffective/mental health, Opinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct namePerceived social support

Codebook

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.

ColumnWhat it isSource column
IRW standard columns
dateIRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute).not traced
idIRW 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
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
waveIRW standard Longitudinal wave indicator.not traced
Respondent covariates
cov_ageCovariate not traced
cov_genderCovariate not traced

What item codes and covariate values stand for is in one of the 5 codebook files in the source deposit.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_mmos_ss")
# Python
pip install irw

import irw
df = irw.fetch("c19prc_uk_mcbride_2021_mmos_ss")

How to cite

@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}
}

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0