marquessanchez_2023_kidmed

3,759 responses from 235 respondents to 16 items.

About this table

DescriptionKIDMED Test of Adherence to the Mediterranean Diet items, Spanish adolescent friendship-network study
ReferenceMarques-Sanchez P, et al. (2023) Adolescent relational behaviour and the obesity pandemic: A study of the potential of social network analysis for health promotion in schools. PLOS ONE
DOI10.1371/journal.pone.0289553
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0289553.s001&type=supplementary

Size and shape

Responses3,759
Respondents235
Items16
Response categories2
Responses per respondent15.996
Responses per item234.938
Density1.000
LongitudinalFALSE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa

Item text

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

InstrumentKIDMED Test of Adherence to the Mediterranean Diet (Mediterranean Diet Quality Index for Children and Adolescents)
Mean words per item8.625
Mean characters per item47.562
Mean characters per response2
Flesch-Kincaid grade level4.491

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, marquessanchez_2023_kidmed.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).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate AGE
cov_bmiCovariate BMC
cov_classCovariate IDCLASS
cov_genderCovariate GENDER
cov_schoolCovariate IDSCHOOL

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

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("marquessanchez_2023_kidmed")
# Python
pip install irw

import irw
df = irw.fetch("marquessanchez_2023_kidmed")

How to cite

@article{Marqu_s_S_nchez_2023, title={Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques}, volume={18}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0289553}, DOI={10.1371/journal.pone.0289553}, number={8}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Marqués-Sánchez, Pilar and Martínez-Fernández, María Cristina and Benítez-Andrades, José Alberto and Quiroga-Sánchez, Enedina and García-Ordás, María Teresa and Arias-Ramos, Natalia}, editor={Limongi, Ricardo}, year={2023}, month=Aug, pages={e0289553} }

Version and provenance

IRW versionv566
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