bado_2018_ohla_b

6,000 responses from 250 respondents to 24 items.

About this table

DescriptionOral Health Literacy Assessment, Brazilian version (OHLA-B): 24 dental words, scored 1 = pronunciation and comprehension both correct, 0 = otherwise. Brazilian adults aged 20-59. N=250.
ReferenceBado FMR, Rebustini F, Jamieson L, Cortellazzi KL, Mialhe FL (2018). Evaluation of the psychometric properties of the Brazilian version of the Oral Health Literacy Assessment in Spanish and development of a shortened form of the instrument. PLOS ONE, 13(11), e0207989. https://doi.org/10.1371/journal.pone.0207989
DOI10.1371/journal.pone.0207989
LicenceCC0 1.0
Source datahttps://zenodo.org/records/5024411

Size and shape

Responses6,000
Respondents250
Items24
Response categories2
Responses per respondent24
Responses per item250
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)por
construct nameOral health literacy

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, bado_2018_ohla_b.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).Respondent
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 (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("bado_2018_ohla_b")
# Python
pip install irw

import irw
df = irw.fetch("bado_2018_ohla_b")

How to cite

@article{Bado_2018, title={Evaluation of the psychometric properties of the Brazilian version of the Oral Health Literacy Assessment in Spanish and development of a shortened form of the instrument}, volume={13}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0207989}, DOI={10.1371/journal.pone.0207989}, number={11}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Bado, Fernanda Maria Rovai and Rebustini, Flávio and Jamieson, Lisa and Cortellazzi, Karine Laura and Mialhe, Fábio Luiz}, editor={Blanch, Angel}, year={2018}, month=Nov, pages={e0207989} }

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