185,297 responses from 8,857 respondents to 17 items.
One of 4 tables from the same source; this one is the 28 table. The others are listed under Related tables.
| 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 |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Mother ASER test, administered to mothers in the evaluation of a maternal literacy and participation programme (Banerji, Berry & Shotland 2017, 'The impact of maternal literacy and participation programs: evidence from a randomized evaluation in India', American Economic Journal: Applied Economics 9(4):303); deposit Harvard Dataverse doi:10.7910/DVN/19PPE7, CC0. Item text is the deposit's own variable labels in ml_merged.dta. |
|---|---|
| Mean words per item | 5.529 |
| Mean characters per item | 30.647 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 4.204 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_27_28.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). | cluster |
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 |
| Other columns | ||
rcode | Not documented Not documented by the IRW; see the source’s codebook. | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
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_28")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_28")
@misc{https://doi.org/10.7910/dvn/19ppe7,
doi = {10.7910/DVN/19PPE7},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/19PPE7},
author = {Banerji, Rukmini and Berry, James and Shotland, Marc},
keywords = {Social Sciences, Adult education, education inputs, field experiments, Higher and further education, Compulsory and pre-school education},
title = {The Impact of Maternal Literacy and Participation Programs: Evidence from a Randomized Evaluation in India},
publisher = {Harvard Dataverse},
year = {2017}
}
| IRW version | v549 |
|---|---|
| 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 v39.0 |