1,809,838 responses from 51,652 respondents to 21 items.
| Description | English data from students in an RCT |
|---|---|
| Reference | Duflo, A., Kiessel, J., & Lucas, A. M. (2024). Experimental Evidence on Four Policies to Increase Learning at Scale. The Economic Journal, 134(661), 1985-2008. |
| DOI | 10.1093/ej/ueae003 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/10492707 |
| Responses | 1,809,838 |
|---|---|
| Respondents | 51,652 |
| Items | 21 |
| Response categories | 2 |
| Responses per respondent | 35.039 |
| Responses per item | 86182.762 |
| Density | 1.669 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Early (<6y), Child (6-12y), Adolescent (12-18y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Observational rating |
| item format | Mixed |
| primary language(s) | eng, in ghana |
| construct name | Experimental Evidence on Alternative Policies to Increase Learning at Scale |
block_idcluster_idcov_agecov_father_literatecov_femalecov_mother_literateiditemresptreatwave
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_18")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_18")
| 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 |