gilbert_meta_108

15,837 responses from 1,092 respondents to 8 items.

About this table

DescriptionLikert scale of food insecurity
ReferenceInternational Food Policy Research Institute (IFPRI), 2025, "Replication Data for "Rural Credit, Food Security, and Resilience: An Empirical Evaluation from Kenya"", https://doi.org/10.7910/DVN/OBZUCX, Harvard Dataverse, V1, UNF:6:i9rxit5ZfWTh2Ne39fQsyQ== [fileUNF] Timu, A. G., Shee, A., Ward, P. S., & You, L. (2025). Evaluating the gendered credit constraints and uptake of an insurance-linked credit product among smallholder farmers in Kenya. The Journal of Development Studies, 61(3), 336-356.
DOI10.1080/00220388.2024.2404573
LicenceCC BY 4.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OBZUCX

Size and shape

Responses15,837
Respondents1,092
Items8
Response categories8
Responses per respondent14.503
Responses per item1979.625
Density1.813
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleProgram-based
construct typeBehavioral
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng, swa
construct nameGendered Credit Rationing and Risk-Contingent Credit Uptake (Kenya Smallholder RCT)

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentLikert scale of food insecurity
Mean words per item7.750
Mean characters per item41.250
Mean characters per response6
Flesch-Kincaid grade level4.338

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gilbert_108.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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).hhid
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
treatIRW standard Treatment group assignment in experimental studies.trtmnt_orig
waveIRW standard Longitudinal wave indicator.time
Respondent covariates
cov_hh_ageCovariate bsln_cntr_h_head_age
cov_hh_maleCovariate bsln_head_sex

What item codes and covariate values stand for is in the source’s codebook, codebook.tab.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_108")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_108")

How to cite

@article{Timu_2024, title={Evaluating the Gendered Credit Constraints and Uptake of an Insurance-Linked Credit Product Among Smallholder Farmers in Kenya}, volume={61}, ISSN={1743-9140}, url={http://dx.doi.org/10.1080/00220388.2024.2404573}, DOI={10.1080/00220388.2024.2404573}, number={3}, journal={The Journal of Development Studies}, publisher={Informa UK Limited}, author={Timu, Anne G. and Shee, Apurba and Ward, Patrick S. and You, Liangzhi}, year={2024}, month=sep, pages={336–356} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v39.0