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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_32.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 | ||
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | ID_IE |
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. | treatment |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_male | Covariate | Sex |
cov_repeat_grade | Covariate | Repeated |
cov_urban | Covariate | urban.rural |
What item codes and covariate values stand for is in the source’s codebook, School_principal_data_code_book_g7_submission.xlsx, Teacher_data_code_book_g7_submission.xlsx, Student_data_code_book_g7_submission.xlsx.
Licence: CC BY-NC 3.0 — non-commercial use only.
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_32")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_32")
@article{Maruyama_2022, title={Strengthening Support of Teachers for Students to Improve Learning Outcomes in Mathematics: Empirical Evidence on a Structured Pedagogy Program in El Salvador}, volume={115}, ISSN={0883-0355}, url={http://dx.doi.org/10.1016/j.ijer.2022.101977}, DOI={10.1016/j.ijer.2022.101977}, journal={International Journal of Educational Research}, publisher={Elsevier BV}, author={Maruyama, Takao}, year={2022}, pages={101977} }
| IRW version | v557 |
|---|---|
| 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 v40.0 |