About this table

Description	Mothers' language 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

Size and shape

Responses	246,834
Respondents	8,857
Items	18
Response categories	2
Responses per respondent	27.869
Responses per item	13,713
Density	1.548
Longitudinal	TRUE

Classification

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

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	ASER mother language test (भाषा की जाँच), Banerji, Berry & Shotland maternal literacy and participation evaluation
Mean words per item	11.944
Mean characters per item	66.778
Mean characters per response	3.250
Flesch-Kincaid grade level	5.616

Codebook

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.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

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_27")

# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_27")

How to cite

@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}
}

Version and provenance

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

gilbert_meta_27