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 |
cluster_idcov_agecov_countycov_femalecov_income_50cov_no_educov_primary_educov_secondary_educov_tertiary_educov_weightiditemresptreatwave
Or load it directly in R or Python:
# 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")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |