EEN_Lacey_2024_Children

30,524 responses from 2,348 respondents to 13 items.

About this table

DescriptionMental Health Increase Willingness Questionnaire
ReferenceLacey, L., Mishra, N., Mukherjee, P., Prakash, N., Prakash, N., Quinn, D., Sabarwal, S., & Saraswat, D. (2024). Can destigmatizing mental health increase willingness to seek help? Experimental evidence from Nepal. Journal of Policy Analysis and Management, 1–28. https://doi.org/10.1002/pam.22643
DOI10.1002/pam.22643
LicenceCC BY 4.0
Source datahttps://www.dropbox.com/scl/fo/jp41djskes00ssrbzm4ez/ABgU29_SZ3L4jpeNRIFVpHo?rlkey=tj7ojr4spweeupyyiidisi103&e=1&dl=0

Size and shape

Responses30,524
Respondents2,348
Items13
Response categories6
Responses per respondent13
Responses per item2,348
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational, General/non-specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)nep
construct nameMental Health Increase Willingness Questionnaire

Item text

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

InstrumentDestigmatizing Mental Health in Nepal - adolescent phone survey
Mean words per item8.415
Mean characters per item49.902
Mean characters per response14.390
Flesch-Kincaid grade level5.418

Columns

iditemresptreat

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("EEN_Lacey_2024_Children")
# Python
pip install irw

import irw
df = irw.fetch("EEN_Lacey_2024_Children")

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