About this table

Description	Perceived likelihood of COVID-19 exposure in 14 settings (grocery store .. school), 1 extremely unlikely - 5 extremely likely; N = 970 US adults (spring 2020); cov_age_group, cov_education, cov_political_affiliation, cov_household_income, cov_essential_worker, cov_male, cov_state, cov_risk_preference.
Reference	Kassas, B., Morgan, S. N., Lai, J., & Kropp, J. D. (2021). Perception versus preference: The role of self-assessed risk measures on individual mitigation behaviors during the COVID-19 pandemic. PLOS ONE. Data: Harvard Dataverse, V1. https://doi.org/10.7910/DVN/VR7OND
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/VR7OND

Size and shape

Responses	13,580
Respondents	970
Items	14
Response categories	5
Responses per respondent	14
Responses per item	970
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	General/non-specific
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	Perceived likelihood of COVID-19 exposure by setting

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	Perceived likelihood of COVID-19 exposure by setting (study-specific)
Mean words per item	12.214
Mean characters per item	62.929
Mean characters per response	18.400
Flesch-Kincaid grade level	5.598

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kassas_2021_covid_risk.py. 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
`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).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age_group`	Covariate	`age`
`cov_education`	Covariate	`educ`
`cov_essential_worker`	Covariate	`essential`
`cov_household_income`	Covariate	`hhinc`
`cov_male`	Covariate	`male`
`cov_political_affiliation`	Covariate	`pol`
`cov_risk_preference`	Covariate	`riskpref`
`cov_state`	Covariate	`state1`

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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("kassas_2021_covid_exposure")

# Python
pip install irw

import irw
df = irw.fetch("kassas_2021_covid_exposure")

How to cite

@misc{https://doi.org/10.7910/dvn/vr7ond,
  doi = {10.7910/DVN/VR7OND},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/VR7OND},
  author = {Kassas, Bachir and {Stephen Morgan} and Lai, John and Kropp, Jaclyn and {Zhifeng Gao}},
  keywords = {Social Sciences},
  title = {Perception versus preference: The role of self-assessed risk measures on individual mitigation behaviors during the COVID-19 pandemic},
  publisher = {Harvard Dataverse},
  year = {2021}
}

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_5 v8.5
Redivis dataset DOI	10.57761/41xy-5k56
Manifest pin for this IRW version	v8.5
Metadata source	irw_meta v44.0

kassas_2021_covid_exposure