gilbert_meta_25

23,222 responses from 779 respondents to 15 items.

One of 2 tables from the same source; this one measures Replication Data for: Nudging children toward healthier food choices: an experiment combining school and home gardens. The others are listed under Related tables.

About this table

DescriptionFood preferences in children in an RCT
ReferenceSchreinemachers, P., Baliki, G., Shrestha, R. M., Bhattarai, D. R., Gautam, I. P., Ghimire, P. L., ... & Brück, T. (2020). Nudging children toward healthier food choices: an experiment combining school and home gardens. Global Food Security, 26, 100454. Schreinemachers, Pepijn, 2020, "Replication Data for: Nudging children toward healthier food choices: an experiment combining school and home gardens", https://doi.org/10.7910/DVN/VNLWCB, Harvard Dataverse, V1, UNF:6:lQUiR3llydZdCQ8swDDrXw== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VNLWCB

Size and shape

Responses23,222
Respondents779
Items15
Response categories4
Responses per respondent29.810
Responses per item1548.133
Density1.987
LongitudinalTRUE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Child (6-12y)
sampleEducational
construct typeOpinion/attitude, Physical health/functioning
measurement toolObservational rating
item formatConstructed Response
primary language(s)nep
construct nameReplication Data for: Nudging children toward healthier food choices: an experiment combining school and home gardens

Item text

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

InstrumentFood preferences in children in an RCT
Mean words per item1.400
Mean characters per item9.533
Mean characters per response10
Flesch-Kincaid grade level9.118

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_25_26.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.

ColumnWhat it isSource column
IRW standard columns
cluster_idIRW standard The group a focal unit is nested in — classroom, teacher, school.A9
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.not traced
treatIRW standard Treatment group assignment in experimental studies.treatment
waveIRW standard Longitudinal wave indicator.not traced
Respondent covariates
cov_child_ageCovariate B2_a
cov_femaleCovariate A3

What item codes and covariate values stand for is in the source’s codebook, Codebook.docx.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_25")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("gilbert_meta_25")

How to cite

@misc{https://doi.org/10.7910/dvn/vnlwcb,
  doi = {10.7910/DVN/VNLWCB},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/VNLWCB},
  author = {Schreinemachers, Pepijn},
  keywords = {Medicine, Health and Life Sciences, Social Sciences, Agricultural Sciences, school gardens; impact evaluation; randomized controlled trial; food choice; Nepal},
  title = {Replication Data for: Nudging children toward healthier food choices: an experiment combining school and home gardens},
  publisher = {Harvard Dataverse},
  year = {2020}
}

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v37.0