jarbin_2020_mfq_parent

10,404 responses from 232 respondents to 34 items.

One of 2 tables from the same source; this one measures Mood and Feelings Questionnaire (MFQ), parent report. The others are listed under Related tables.

About this table

DescriptionMood and Feelings Questionnaire, parent report (rater = mother / father), 34 items, 0-2; N = 232 Swedish child and adolescent psychiatric outpatients; cov_gender, cov_age, LEAD diagnosis flags.
ReferenceJarbin, H., Ivarsson, T., Andersson, M., Bergman, H., & Skarphedinsson, G. (2020). Screening efficiency of the Mood and Feelings Questionnaire (MFQ) and Short Mood and Feelings Questionnaire (SMFQ) in Swedish help seeking outpatients. PLOS ONE, 15(3), e0230623. https://doi.org/10.1371/journal.pone.0230623
DOI10.1371/journal.pone.0230623
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0230623.s005

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses10,404
Respondents232
Items34
Response categories3
Responses per respondent44.845
Responses per item306
Density1.319
LongitudinalFALSE

Classification

age rangeChild (<18y)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)swe
construct nameMood and Feelings Questionnaire (MFQ), parent report

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, jarbin_2020_mfq.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
raterIRW standard Observer identifier in scenarios where items are rated by an external observer rather than self-reported.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate made in the build script
cov_dx_adhdCovariate LADHDtotal
cov_dx_anxietyCovariate LAnxietytotal_exkl_specfobi
cov_dx_autismCovariate LAutismspektrumtotal
cov_dx_depressionCovariate LDepressiontotal
cov_genderCovariate gender

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("jarbin_2020_mfq_parent")
# Python
pip install irw

import irw
df = irw.fetch("jarbin_2020_mfq_parent")

How to cite

@article{Jarbin_2020, title={Screening efficiency of the Mood and Feelings Questionnaire (MFQ) and Short Mood and Feelings Questionnaire (SMFQ) in Swedish help seeking outpatients}, volume={15}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0230623}, DOI={10.1371/journal.pone.0230623}, number={3}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Jarbin, Håkan and Ivarsson, Tord and Andersson, Markus and Bergman, Hanna and Skarphedinsson, Gudmundur}, editor={Montazeri, Ali}, year={2020}, month=Mar, pages={e0230623} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0