185,297 responses from 8,857 respondents to 17 items.
| Description | Mother's math in an RCT |
|---|---|
| Reference | Banerji, R., Berry, J., & Shotland, M. (2017). The impact of maternal literacy and participation programs: Evidence from a randomized evaluation in India. American Economic Journal: Applied Economics, 9(4), 303-337. Banerji, Rukmini; Berry, James; Shotland, Marc, 2017, "The Impact of Maternal Literacy and Participation Programs: Evidence from a Randomized Evaluation in India", https://doi.org/10.7910/DVN/19PPE7, Harvard Dataverse, V1 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/19PPE7 |
| Responses | 185,297 |
|---|---|
| Respondents | 8,857 |
| Items | 17 |
| Response categories | 2 |
| Responses per respondent | 20.921 |
| Responses per item | 10899.824 |
| Density | 1.231 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Developmental |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | hin |
| construct name | The Impact of Maternal Literacy and Participation Programs: Evidence from a Randomized Evaluation in India |
block_idcov_ageiditemrcoderesptreatwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_28")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_28")
| 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 |