EEN_Lacey_2024_Parent

59,640 responses from 2,485 respondents to 24 items.

One of 2 tables from the same source; this one measures Willingness to Seek Mental Health Treatment. The others are listed under Related tables.

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

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, EEN_Lacey_2024.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
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).HHID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
treatIRW standard Treatment group assignment in experimental studies.treatment

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant 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("EEN_Lacey_2024_Parent")
# Python
pip install irw

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

How to cite

@article{Lacey_2024, title={Can destigmatizing mental health increase willingness to seek help? Experimental evidence from Nepal}, volume={44}, ISSN={1520-6688}, url={http://dx.doi.org/10.1002/pam.22643}, DOI={10.1002/pam.22643}, number={1}, journal={Journal of Policy Analysis and Management}, publisher={Wiley}, author={Lacey, Lindsey and Mishra, Nirajana and Mukherjee, Priya and Prakash, Nikhilesh and Prakash, Nishith and Quinn, Diane and Sabarwal, Shwetlena and Saraswat, Deepak}, year={2024}, month=sep, pages={97–124} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse v71.0
Redivis dataset DOI10.57761/f5n4-k797
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0