gilbert_meta_54

22,560 responses from 1,880 respondents to 6 items.

About this table

DescriptionConsent in an RCT
ReferenceSaha, A., Dixit, A., Shankar, L., Battala, M., Khan, N., Saggurti, N., ... & Howard, S. (2023). Study protocol for an individually randomized control trial for India's first roleplay-based mobile game for reproductive health for adolescent girls. Reproductive Health, 20(1), 140. Raj, Aparna; Dixit, Anvita; Saha, Ananya; Shankar, Lalita; Howard, Susan; Battala, Madhusudana; Khan, Nizamuddin; Saggurti, Niranjan, 2024, "Go Nisha Go Randomized Controlled Trial (R4S study #1.11)", https://doi.org/10.7910/DVN/0TS1LX, Harvard Dataverse, V1, UNF:6:hoNbY3jVad2x1yxVowFamA== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/0TS1LX

Size and shape

Responses22,560
Respondents1,880
Items6
Response categories4
Responses per respondent12
Responses per item3,760
Density2
LongitudinalTRUE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleTargeted/specific
construct typeBehavioral, Cognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)hin, eng
construct nameknowledge, attitude, efficacy, and behavior related to menstruation, contraception, consent, and marriage.

Item text

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

InstrumentConsent in an RCT
Mean words per item17.167
Mean characters per item84.833
Mean characters per response19.750
Flesch-Kincaid grade level7.029

Columns

cov_attend_schoolcov_in_schoolcov_mobile_phonecov_pursue_careeriditemresptreatwave

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_54")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_54")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0