8,622 responses from 741 respondents to 4 items.
| Description | Depression in an RCT |
|---|---|
| Reference | Wilson-Barthes, M., Steingrimsson, J., Lee, Y., Tran, D. N., Wachira, J., Kafu, C., ... & Galárraga, O. (2024). Economic outcomes among microfinance group members receiving community-based chronic disease care: Cluster randomized trial evidence from Kenya. Social Science & Medicine, 351, 116993. Wilson-Barthes, Marta; Jon Steingrimsson; Youjin Lee; Dan N Tran; Juddy Wachira; Catherine Kafu; Sonak D Pastakia; Rajesh Vedanthan; Jamil Alarik Said; Becky L Genberg; Omar Galarraga, 2024, "Economic Outcomes Among Microfinance Group Members Receiving Community-based Chronic Disease Care: Cluster Randomized Trial Evidence From Kenya", https://doi.org/10.7910/DVN/SLUA08, Harvard Dataverse, V5, UNF:6:xiUNCRyFbYO4Aw2ZjDzawA== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SLUA08 |
| Responses | 8,622 |
|---|---|
| Respondents | 741 |
| Items | 4 |
| Response categories | 4 |
| Responses per respondent | 11.636 |
| Responses per item | 2155.500 |
| Density | 2.909 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| construct type | Other, Physical health/functioning |
| measurement tool | Observational rating |
| item format | Mixed |
| primary language(s) | ken |
| construct name | Economic Outcomes Among Microfinance Group Members Receiving Community-based Chronic Disease Care: Cluster Randomized Trial Evidence From Kenya |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Depression in an RCT |
|---|---|
| Mean words per item | 6.500 |
| Mean characters per item | 38.750 |
| Mean characters per response | 15.250 |
| Flesch-Kincaid grade level | 6.007 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_62.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. | study_group_id |
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). | not traced |
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. | tx |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_county | Covariate 1 = Busia · 2 = Trans Nzoia | county |
cov_female | Covariate 1 = Male · 2 = Female | gender |
cov_income_50 | Covariate 0 = <5,000 KES or N/A/Don't Know/Refuse · 1 = >=5,000 KSH ($50 USD) | mos_income_bin |
cov_no_edu | Covariate | educ1 |
cov_primary_edu | Covariate | educ2 |
cov_secondary_edu | Covariate | educ3 |
cov_tertiary_edu | Covariate | educ4 |
cov_weight | Covariate | weight |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("gilbert_meta_62")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_62")
@misc{https://doi.org/10.7910/dvn/slua08,
doi = {10.7910/DVN/SLUA08},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/SLUA08},
author = {Wilson-Barthes, Marta and Steingrimsson, Jon and {Youjin Lee} and N Tran, Dan and {Juddy Wachira} and Kafu, Catherine and Pastakia, Sonak D and Vedanthan, Rajesh and Said, Jamil Alarik and L Genberg, Becky and Galarraga, Omar},
keywords = {Medicine, Health and Life Sciences, Social Sciences},
title = {Economic Outcomes Among Microfinance Group Members Receiving Community-based Chronic Disease Care: Cluster Randomized Trial Evidence From Kenya},
publisher = {Harvard Dataverse},
year = {2024}
}
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v39.0 |