dscore_barrera_weber_2019

14,674 responses from 667 respondents to 22 items.

About this table

DescriptionResponses from the Barrera Moncada instrument, collected in the GCDG-ECU cohort in Ecuador.
ReferenceWeber, A. M., Rubio-Codina, M., Walker, S. P., Van Buuren, S., Eekhout, I., Grantham-McGregor, S. M., Araujo, M. C., Chang, S. M., Fernald, L. C., Hamadani, J. D., Hanlon, C., Karam, S. M., Lozoff, B., Ratsifandrihamanana, L., Richter, L., & Black, M. M. (2019). The D-score: a metric for interpreting the early development of infants and toddlers across global settings. BMJ Global Health, 4(6), e001724. https://doi.org/10.1136/bmjgh-2019-001724
DOIhttps://doi.org/10.1136/bmjgh-2019-001724
LicenceCC BY 4.0
Source datahttps://github.com/D-score/childdevdata/tree/master/data-raw/data

Size and shape

Responses14,674
Respondents667
Items22
Response categories2
Responses per respondent22
Responses per item667
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Early (<6y)
construct typeDevelopmental
measurement toolObservational rating
item formatLikert Scale/selected response
primary language(s)spa
construct nameBarrera Moncada

Columns

cov_cohortcov_countrycov_gagebrthcov_genderiditemitemcov_difficultyresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dscore_barrera_weber_2019")
# Python
pip install irw

import irw
df = irw.fetch("dscore_barrera_weber_2019")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0