alqerem_2024_mhls

34,362 responses from 982 respondents to 35 items.

About this table

DescriptionMental Health Literacy Scale (35 items, Jordanian Arabic version) completed by 982 Jordanian adults in an online survey.
ReferenceAl-Qerem, W., Jarab, A., Khdour, M., Eberhardt, J., Alasmari, F., Hammad, A., Zumot, R., & Khalil, A. (2024). Assessing mental health literacy in Jordan: a factor analysis and Rasch analysis study. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1396255
DOI10.3389/fpubh.2024.1396255
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/10781205

Size and shape

Responses34,362
Respondents982
Items35
Response categories5
Responses per respondent34.992
Responses per item981.771
Density1.000
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typeCognitive/educational, Opinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ara
construct nameMental health literacy

Item text

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

InstrumentMental Health Literacy Scale (MHLS), Jordanian Arabic version
Mean words per item19.038
Mean characters per item106.506
Mean characters per response9.669
Flesch-Kincaid grade level10.264

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, alqerem_2024_mhls.py. 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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Age
cov_educationCovariate 1 = high school or less · 2 = diploma · 3 = bachelors degreeEducation
cov_genderCovariate 1 = female · 2 = maleGender
cov_incomeCovariate 1 = Less than 500 · 2 = Between 500-100 · 3 = More than 1000Income
cov_marriedCovariate 1 = other · 2 = marriedmaritalstatus

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("alqerem_2024_mhls")
# Python
pip install irw

import irw
df = irw.fetch("alqerem_2024_mhls")

How to cite

@article{Al_Qerem_2024, title={Assessing mental health literacy in Jordan: a factor analysis and Rasch analysis study}, volume={12}, ISSN={2296-2565}, url={http://dx.doi.org/10.3389/fpubh.2024.1396255}, DOI={10.3389/fpubh.2024.1396255}, journal={Frontiers in Public Health}, publisher={Frontiers Media SA}, author={Al-Qerem, Walid and Jarab, Anan and Khdour, Maher and Eberhardt, Judith and Alasmari, Fawaz and Hammad, Alaa and Zumot, Ruba and Khalil, Sarah}, year={2024}, month=July }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0