20,642 responses from 397 respondents to 52 items.
One of 2 tables from the same source; this one measures KIDSCREEN-52. The others are listed under Related tables.
| Description | KIDSCREEN-52, 52 items in ten dimensions, 1-5; N = 397 school pupils aged 8-14 in Kwale and Siaya counties, Kenya (198 with tungiasis); cov_tungiasis, cov_severity, cov_county, cov_sex, cov_age; cluster_id. |
|---|---|
| Reference | Elson, L., Otieno, B., Matharu, A. K., Rithi, N., Chongwo, E., Mutebi, F., Feldmeier, H., Krücken, J., Fillinger, U., & Abubakar, A. (2024). Replication Data for: Assessing the impact of tungiasis on children's quality of life in two rural communities in Kenya [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/TKXWRF |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.7910/DVN/TKXWRF |
| Responses | 20,642 |
|---|---|
| Respondents | 397 |
| Items | 52 |
| Response categories | 5 |
| Responses per respondent | 51.995 |
| Responses per item | 396.962 |
| Density | 1.000 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Educational, Targeted/specific |
| construct type | Affective/mental health, Physical health/functioning |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | swa, luo |
| construct name | KIDSCREEN-52 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, elson_2024_tungiasis_qol.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 | ||
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | made in the build script |
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 | pupil_age |
cov_county | Covariate | region_code_1kw_2si |
cov_severity | Covariate | intensity_group_fleacounts |
cov_sex | Covariate | sex |
cov_tungiasis | Covariate | tungiasis_status |
What item codes and covariate values stand for is in the source’s codebook, 8098630.
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("elson_2024_kidscreen52")
# Python
pip install irw
import irw
df = irw.fetch("elson_2024_kidscreen52")
@misc{https://doi.org/10.7910/dvn/tkxwrf,
doi = {10.7910/DVN/TKXWRF},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/TKXWRF},
author = {Elson, Lynne and Otieno, Berrick and Matharu, Abneel K. and Rithi, Naomi and Chongwo, Esther and Mutebi, Francis and Feldmeier, Hermann and Krücken, Jürgen and Fillinger, Ulrike and Abubakar, Amina},
keywords = {Medicine, Health and Life Sciences, Tungiasis, depression, parenting, quality-of-life, skin disease, NTDs},
title = {Replication Data for: Assessing the impact of tungiasis on children’s quality of life in two rural communities in Kenya},
publisher = {Harvard Dataverse},
year = {2024}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |