About this table

Description	Ten beliefs about health and the body in the epidemic context (1-5 agreement) from 299 Polish adults
Reference	Modzelewska, A., & Imbir, K. K. (2021). Interoceptive awareness and beliefs about health and the body as predictors of the intensity of emotions experienced at the beginning of the pandemic. PeerJ, 9, e12542.
DOI	10.7717/peerj.12542
Licence	CC BY 4.0
Source data	https://europepmc.org/article/PMC/PMC8706328

Size and shape

Responses	2,990
Respondents	299
Items	10
Response categories	5
Responses per respondent	10
Responses per item	299
Density	1
Longitudinal	FALSE

Classification

sample	General/non-specific
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	pol

Item text

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

Instrument	Reaction to the Current Coronavirus Epidemic - Beliefs About Health and Body (Modzelewska & Imbir, 2021): list of negative beliefs about health and the body
Mean words per item	10.700
Mean characters per item	57.800
Mean characters per response	8.800
Flesch-Kincaid grade level	7.331

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, modzelewska_2021_interoception.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`	Covariate	`Age`
`cov_chronic_illness`	Covariate `1` = yes · `2` = no	`illnesses`
`cov_education`	Covariate `2` = elementary · `4` = high school · `5` = higher	`Education`
`cov_gender`	Covariate `1` = women · `2` = men · `3` = other	`Gender`
`cov_had_covid`	Covariate `1` = yes · `2` = no	`COVID_experience`
`cov_income_eval`	Covariate `1` = very good · `2` = good · `3` = moderate · `4` = bad · `5` = very bad	`income_evaluation`
`cov_income_stable`	Covariate `1` = yes · `2` = no	`income_source`
`cov_knows_covid_case`	Covariate `1` = yes · `2` = no	`knowing_COVID_illed`
`cov_place`	Covariate `1` = country · `2` = city below 50,000 residents · `3` = city 50 - 500 thousand residents · `4` = city 500,000 - 1 million inhabitants · `5` = city pow. 1 million inhabitants	`Place`

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the source’s questionnaire, peerj-09-12542-s004.docx, which shows the item wording.

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("modzelewska_2021_hbeliefs")

# Python
pip install irw

import irw
df = irw.fetch("modzelewska_2021_hbeliefs")

How to cite

@article{Modzelewska_2021, title={Interoceptive awareness and beliefs about health and the body as predictors of the intensity of emotions experienced at the beginning of the pandemic}, volume={9}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.12542}, DOI={10.7717/peerj.12542}, journal={PeerJ}, publisher={PeerJ}, author={Modzelewska, Aleksandra and Imbir, Kamil K.}, year={2021}, month=Dec, pages={e12542} }

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_6 v5.11
Redivis dataset DOI	10.57761/qahq-j855
Manifest pin for this IRW version	v5.11
Metadata source	irw_meta v44.0

modzelewska_2021_hbeliefs