gilbert_meta_57

42,840 responses from 1,154 respondents to 9 items.

One of 3 tables from the same source; this one measures Maternal Depression and Child Development in Rural Pakistan. The others are listed under Related tables.

About this table

DescriptionDepression (PHQ-9) in an RCT
ReferenceMaselko, J., Sikander, S., Turner, E. L., Bates, L. M., Ahmad, I., Atif, N., ... & Rahman, A. (2020). Effectiveness of a peer-delivered, psychosocial intervention on maternal depression and child development at 3 years postnatal: a cluster randomised trial in Pakistan. The Lancet Psychiatry, 7(9), 775-787. John Gallis; Kate Sanborn; Elizabeth Turner, 2024, "Bachpan Study of Maternal Depression and Child Development: Data from the First Three Years", https://doi.org/10.7910/DVN/IJE2PC, Harvard Dataverse, V1, UNF:6:U0IAdDMyTiu9YZU+M6Z6kw== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/IJE2PC

Size and shape

Responses42,840
Respondents1,154
Items9
Response categories4
Responses per respondent37.123
Responses per item4,760
Density4.125
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleClinical
construct typeAffective/mental health, Developmental
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)urd
construct nameMaternal Depression and Child Development in Rural Pakistan

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentDepression (PHQ-9) in an RCT
Mean words per item11.778
Mean characters per item68.778
Mean characters per response15.250
Flesch-Kincaid grade level7.135

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_57_58_59.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
cluster_idIRW standard The group a focal unit is nested in — classroom, teacher, school.clusterCode
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.not traced
treatIRW standard Treatment group assignment in experimental studies.arm
waveIRW standard Longitudinal wave indicator.not traced
Respondent covariates
cov_ageCovariate momAge0
cov_educCovariate wifeEducYr0
cov_household_sizeCovariate totalPeople0
cov_num_childrenCovariate livCh

What item codes and covariate values stand for is in the source’s codebook, IPV Variable Codebook.xlsx, Bachpan Data Dictionary Sharing.xlsx.

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("gilbert_meta_57")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_57")

How to cite

@misc{https://doi.org/10.7910/dvn/ije2pc,
  doi = {10.7910/DVN/IJE2PC},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/IJE2PC},
  author = {Gallis, John and Sanborn, Kate and Turner, Elizabeth},
  keywords = {Medicine, Health and Life Sciences, Maternal Mental Health and Child Development},
  title = {Bachpan Study of Maternal Depression and Child Development: Data from the First Three Years},
  publisher = {Harvard Dataverse},
  year = {2024}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0