About this table

Description	Computation in an RCT
Reference	Berry, J., Kim, H. B., & Son, H. H. (2022). When student incentives do not work: Evidence from a field experiment in Malawi. Journal of Development Economics, 158, 102893. Berry, James; Kim, Hyuncheol Bryant; Son, Hyuk Harry, 2021, "Replication Data for: When Student Incentives Don't Work: Evidence from a Field Experiment in Malawi", https://doi.org/10.7910/DVN/FXL7JW, Harvard Dataverse, V1, UNF:6:Jdmc919H5J9CPJ3R3yql2Q== [fileUNF]
Licence	CC0 1.0
Source data	https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FXL7JW

Size and shape

Responses	207,858
Respondents	8,217
Items	30
Response categories	2
Responses per respondent	25.296
Responses per item	6928.600
Density	0.843
Longitudinal	TRUE

Classification

age range	Child (<18y)
child age (for child-focused studies)	Child (6-12y)
sample	Educational
construct type	Behavioral, Developmental
measurement tool	Observational rating
item format	Mixed
construct name	Replication Data for: When Student Incentives Don't Work: Evidence from a Field Experiment in Malawi

Item text

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

Instrument	Computation in an RCT
Mean words per item	4.300
Mean characters per item	16.450
Mean characters per response	1.286
Flesch-Kincaid grade level	0.703

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_39_40.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.	made in the build script
`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).	made in the build script
`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.	`rct_edit`
`wave`	IRW standard Longitudinal wave indicator.	not traced
Respondent covariates
`cov_ethnicity`	Covariate	`b1_q105`
`cov_home_lang`	Covariate	`b1_q106`
`cov_religion`	Covariate	`b1_q107`
Other columns
`grade`	From source Not defined by the IRW standard; the source column’s codebook entry gives its meaning.	`y1_standard`
`school`	From source Not defined by the IRW standard; the source column’s codebook entry gives its meaning.	`y1_schoolno`

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_40")

# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_40")

How to cite

@misc{https://doi.org/10.7910/dvn/fxl7jw,
  doi = {10.7910/DVN/FXL7JW},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FXL7JW},
  author = {Berry, James and Kim, Hyuncheol Bryant and Son, Hyuk Harry},
  keywords = {Social Sciences},
  title = {Replication Data for: When Student Incentives Don't Work: Evidence from a Field Experiment in Malawi},
  publisher = {Harvard Dataverse},
  year = {2021}
}

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_40