1,809,838 responses from 51,652 respondents to 21 items.
One of 3 tables from the same source; this one is the 18 table. The others are listed under Related tables.
| 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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_17_18_19.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 | ||
block_id | IRW standard The level above cluster_id — in a randomised design, the block or stratum within which assignment was made (treat varies within a block, and clusters nest in blocks). | strata |
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | schcode |
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. | anytreat |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_age | Covariate | bl_child_age |
cov_father_literate | Covariate | bl_father_literate |
cov_female | Covariate | bl_gender |
cov_mother_literate | Covariate | bl_mother_literate |
What item codes and covariate values stand for is in the codebook released with the source data.
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 (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_18")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_18")
@article{Duflo_2024, title={Experimental Evidence on Four Policies to Increase Learning at Scale}, volume={134}, ISSN={1468-0297}, url={http://dx.doi.org/10.1093/ej/ueae003}, DOI={10.1093/ej/ueae003}, number={661}, journal={The Economic Journal}, publisher={Oxford University Press (OUP)}, author={Duflo, Annie and Kiessel, Jessica and Lucas, Adrienne M}, year={2024}, month=feb, pages={1985–2008} }
| IRW version | v566 |
|---|---|
| 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 v43.0 |