90,051 responses from 5,364 respondents to 16 items.
| Description | Attitudes towards savings in an RCT |
|---|---|
| Reference | Berry, J., Karlan, D., & Pradhan, M. (2018). The impact of financial education for youth in Ghana. World development, 102, 71-89. Berry, James; Karlan, Dean; Pradhan, Menno, 2020, "The Impact of Financial Education for Youth in Ghana", https://doi.org/10.7910/DVN/GDP2YP, Harvard Dataverse, V1 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/GDP2YP |
| Responses | 90,051 |
|---|---|
| Respondents | 5,364 |
| Items | 16 |
| Response categories | 4 |
| Responses per respondent | 16.788 |
| Responses per item | 5628.188 |
| Density | 1.049 |
| Longitudinal | TRUE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Attitudes towards savings |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Attitudes towards savings in an RCT |
|---|---|
| Mean words per item | 10.812 |
| Mean characters per item | 54.938 |
| Mean characters per response | 13.188 |
| Flesch-Kincaid grade level | 5.474 |
cluster_idcov_agecov_maleiditemresptreatwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_22")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_22")
| 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 |