EOAQ-EST_Silveira_2024

1,918 responses from 137 respondents to 14 items.

About this table

DescriptionEuropean Obesity Academy Questionnaire
ReferencePanse Silveira, Paulo Sergio, 2024, "A Tutorial on Systematic Methodology for Psychometric Model Selection: Case Study of the EOAQ-EST", https://doi.org/10.7910/DVN/FCBOGB, Harvard Dataverse, V2
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FCBOGB

Size and shape

Responses1,918
Respondents137
Items14
Response categories5
Responses per respondent14
Responses per item137
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleTargeted/specific
construct typeAffective/mental health, Opinion/attitude, Physical health/functioning
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)por
construct nameEuropean Obesity Academy Questionnaire on Expectations about Surgical Treatment (EOAQ-EST)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, EOAQ-EST_Silveira_2024.R. 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

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:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("EOAQ-EST_Silveira_2024")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("EOAQ-EST_Silveira_2024")

How to cite

@misc{https://doi.org/10.7910/dvn/fcbogb,
  doi = {10.7910/DVN/FCBOGB},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FCBOGB},
  author = {Panse Silveira, Paulo Sergio},
  keywords = {Medicine, Health and Life Sciences, Computer and Information Science, Other, validation study, methods, psychometrics, bariatric surgery, models, statistical, methodological studies, data management},
  title = {A Tutorial on Systematic Methodology for Psychometric Model Selection: Case Study of the EOAQ-EST},
  publisher = {Harvard Dataverse},
  year = {2024}
}

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v37.0