4,139,616 responses from 7,536 respondents to 416 items.
One of 12 tables from the same source; this one measures Bayley Scales for Infant and Toddler Development-1/3. The others are listed under Related tables.
| Description | Responses from the Bayley Scales for Infant and Toddler Development-1&3 collected across five cohorts: GCDG-CHL-1, GCDG-CHN, GCDG-COL-LT42M, GCDG-COL-LT45M, and GCDG-ZAF. Among these, GCDG-COL-LT45M and GCDG-ZAF were longitudinally collected. |
|---|---|
| Reference | Weber, 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 |
| DOI | https://doi.org/10.1136/bmjgh-2019-001724 |
| Licence | CC BY 4.0 |
| Source data | https://github.com/D-score/childdevdata/tree/master/data-raw/data |
| Responses | 4,139,616 |
|---|---|
| Respondents | 7,536 |
| Items | 416 |
| Response categories | 2 |
| Responses per respondent | 549.312 |
| Responses per item | 9,951 |
| Density | 1.320 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Early (<6y) |
| construct type | Developmental |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Bayley Scales for Infant and Toddler Development-1/3 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, dscore_weber_2019.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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | subjid |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_cohort | Covariate | cohort |
cov_country | Covariate | ctrycd |
cov_gagebrth | Covariate | gagebrth |
cov_gender | Covariate | sex |
| Other columns | ||
itemcov_difficulty | Not documented Covariates invariant to measurement probes (item-level attributes). | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
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("dscore_bayley_weber_2019")
# Python
pip install irw
import irw
df = irw.fetch("dscore_bayley_weber_2019")
@article{Weber_2019, title={The D-score: a metric for interpreting the early development of infants and toddlers across global settings}, volume={4}, ISSN={2059-7908}, url={http://dx.doi.org/10.1136/bmjgh-2019-001724}, DOI={10.1136/bmjgh-2019-001724}, number={6}, journal={BMJ Global Health}, publisher={BMJ}, author={Weber, Ann M and Rubio-Codina, Marta and Walker, Susan P and van Buuren, Stef and Eekhout, Iris and Grantham-McGregor, Sally M and Araujo, Maria Caridad and Chang, Susan M and Fernald, Lia CH and Hamadani, Jena Derakhshani and Hanlon, Charlotte and Karam, Simone M and Lozoff, Betsy and Ratsifandrihamanana, Lisy and Richter, Linda and Black, Maureen M}, year={2019}, month=nov, pages={e001724} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v39.0 |