dscore_griffiths_weber_2019

1,508,416 responses from 2,774 respondents to 296 items.

About this table

DescriptionResponses from the Griffiths Mental Development Scales, collected in three cohorts: GCDG-JAM-LBW, GCDG-JAM-STUNTED, and GCDG-ZAF. Among these, JAM-LBW, JAM-STUNTED, and ZAF were longitudinally collected.
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

Responses1,508,416
Respondents2,774
Items296
Response categories2
Responses per respondent543.769
Responses per item5,096
Density1.837
LongitudinalTRUE

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)eng
construct nameGriffiths Mental Development Scales

Columns

cov_cohortcov_countrycov_gagebrthcov_genderiditemitemcov_difficultyrespwave

Get the data

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Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dscore_griffiths_weber_2019")
# Python
pip install irw

import irw
df = irw.fetch("dscore_griffiths_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