162,640 responses from 4,513 respondents to 20 items.
| Description | Math in an RCT |
|---|---|
| Reference | Maruyama, T. (2022). Strengthening Support of Teachers for Students to Improve Learning Outcomes in Mathematics: Empirical Evidence on a Structured Pedagogy Program in El Salvador. International Journal of Educational Research, 115, 101977. |
| DOI | 10.1016/j.ijer.2022.101977 |
| Licence | CC BY-NC 3.0 |
| Source data | https://data.mendeley.com/datasets/vmf6fbfm2n/1 |
| Responses | 162,640 |
|---|---|
| Respondents | 4,513 |
| Items | 20 |
| Response categories | 2 |
| Responses per respondent | 36.038 |
| Responses per item | 8,132 |
| Density | 1.802 |
| Longitudinal | TRUE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Observational rating |
| item format | Mixed |
| primary language(s) | spa |
| construct name | Data of the Randomized Controlled Trial for the ESMATE project in El Salvador (Lower secondary level) from 2018 to 2019 |
cluster_idcov_agecov_malecov_repeat_gradecov_urbaniditemresptreatwave
Licence: CC BY-NC 3.0 — non-commercial use only.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_32")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_32")
| 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 |