5,709 responses from 519 respondents to 11 items.
One of 6 tables from the same source; this one measures Postpartum depression knowledge and awareness. The others are listed under Related tables.
| Description | Knowledge and awareness of postpartum depression, 11 agreement items, 1 strongly disagree - 5 strongly agree; N = 519 women in Yobe and Niger states, Nigeria; cov_state, cov_age, cov_education, cov_employment, cov_income, cov_marital_status, cov_religion, cov_children. |
|---|---|
| Reference | Omale, G., Oyesomi, K., Oladosun, M., & Bamigbolayin-Afolabi, O. (2025). Dataset on socio-demographic predictors of help-seeking for postpartum depression in Northern Nigeria. Mendeley Data, V1. https://doi.org/10.17632/2tzj5m5kp4 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/2tzj5m5kp4 |
| Responses | 5,709 |
|---|---|
| Respondents | 519 |
| Items | 11 |
| Response categories | 5 |
| Responses per respondent | 11 |
| Responses per item | 519 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Postpartum depression knowledge and awareness |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, omale_2025_ppd_help_seeking.py. 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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_children | Covariate | Number_of_Children |
cov_education | Covariate | Educational_qualification |
cov_employment | Covariate | Employement_Status |
cov_income | Covariate | Monthly_Income_Earning |
cov_marital_status | Covariate | Marital_Status |
cov_religion | Covariate | Religion |
cov_state | Covariate | States |
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("omale_2025_ppd_knowledge")
# Python
pip install irw
import irw
df = irw.fetch("omale_2025_ppd_knowledge")
@misc{https://doi.org/10.17632/2tzj5m5kp4,
doi = {10.17632/2TZJ5M5KP4},
url = {https://data.mendeley.com/datasets/2tzj5m5kp4},
author = {Omale, Gloria and Oyesomi, Kehinde and Oladosun, Muyiwa and Bamigbolayin-Afolabi, Oluwafolafunmi and Adesina, Evaristus and Aluko, Afolayan},
keywords = {Communication, Health Communication, Maternal Health},
title = {DATASET ON SOCIO-DEMOGRAPHIC PREDICTORS OF HELP-SEEKING FOR POSTPARTUM DEPRESSION IN NORTHERN NIGERIA},
publisher = {Mendeley Data},
year = {2025}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_7 v1.1 |
| Redivis dataset DOI | 10.57761/7pd3-sh31 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |