69,429 responses from 1,154 respondents to 13 items.
One of 3 tables from the same source; this one measures Depression (SCID). The others are listed under Related tables.
| Description | Depression (SCID) in an RCT |
|---|---|
| Reference | Maselko, 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] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/IJE2PC |
| Responses | 69,429 |
|---|---|
| Respondents | 1,154 |
| Items | 13 |
| Response categories | 2 |
| Responses per respondent | 60.164 |
| Responses per item | 5340.692 |
| Density | 4.628 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical, Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Depression (SCID) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Depression (SCID) in an RCT |
|---|---|
| Mean words per item | 7.154 |
| Mean characters per item | 49.385 |
| Mean characters per response | 2.500 |
| Flesch-Kincaid grade level | 8.136 |
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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | clusterCode |
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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | not traced |
treat | IRW standard Treatment group assignment in experimental studies. | arm |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_age | Covariate | momAge0 |
cov_educ | Covariate | wifeEducYr0 |
cov_household_size | Covariate | totalPeople0 |
cov_num_children | Covariate | livCh |
What item codes and covariate values stand for is in the source’s codebook, IPV Variable Codebook.xlsx, Bachpan Data Dictionary Sharing.xlsx.
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_58")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_58")
@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}
}
| IRW version | v569 |
|---|---|
| Redivis dataset | item_response_warehouse v71.0 |
| Redivis dataset DOI | 10.57761/f5n4-k797 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |