EEN_Lacey_2024_Parent

59,640 responses from 2,485 respondents to 24 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

Responses59,640
Respondents2,485
Items24
Response categories6
Responses per respondent24
Responses per item2,485
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleTargeted/specific
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ne
construct nameWillingness to Seek Mental Health Treatment

Item text

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

InstrumentParent (adult respondent) survey, Lacey et al. (2024), 'Can destigmatizing mental health increase willingness to seek help? Experimental evidence from Nepal'
Mean words per item18.429
Mean characters per item107.792
Mean characters per response12.182
Flesch-Kincaid grade level9.326

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_Parent")
# Python
pip install irw

import irw
df = irw.fetch("EEN_Lacey_2024_Parent")

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