modzelewska_2021_maia

9,568 responses from 299 respondents to 32 items.

One of 4 tables from the same source; this one is the maia table. The others are listed under Related tables.

About this table

DescriptionMultidimensional Assessment of Interoceptive Awareness (MAIA, 32 items, 0-5), Polish version, from 299 Polish adults
ReferenceModzelewska, 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.
DOI10.7717/peerj.12542
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC8706328

Size and shape

Responses9,568
Respondents299
Items32
Response categories6
Responses per respondent32
Responses per item299
Density1
LongitudinalFALSE

Classification

sampleGeneral/non-specific
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)pol

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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Age
cov_chronic_illnessCovariate 1 = yes · 2 = noillnesses
cov_educationCovariate 2 = elementary · 4 = high school · 5 = higherEducation
cov_genderCovariate 1 = women · 2 = men · 3 = otherGender
cov_had_covidCovariate 1 = yes · 2 = noCOVID_experience
cov_income_evalCovariate 1 = very good · 2 = good · 3 = moderate · 4 = bad · 5 = very badincome_evaluation
cov_income_stableCovariate 1 = yes · 2 = noincome_source
cov_knows_covid_caseCovariate 1 = yes · 2 = noknowing_COVID_illed
cov_placeCovariate 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 inhabitantsPlace

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-s003.pdf, peerj-09-12542-s004.docx, which show the item wording.

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("modzelewska_2021_maia")
# Python
pip install irw

import irw
df = irw.fetch("modzelewska_2021_maia")

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 versionv584
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0