6,936 responses from 204 respondents to 34 items.
One of 2 tables from the same source; this one measures Mood and Feelings Questionnaire (MFQ), self-report. The others are listed under Related tables.
| Description | Mood and Feelings Questionnaire, child self-report, 34 items, 0-2; N = 204 Swedish child and adolescent psychiatric outpatients (6-17 y); cov_age_group (child/teenager), cov_gender, cov_age, LEAD diagnosis flags. |
|---|---|
| Reference | Jarbin, 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 |
| DOI | 10.1371/journal.pone.0230623 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0230623.s005 |
| Responses | 6,936 |
|---|---|
| Respondents | 204 |
| Items | 34 |
| Response categories | 3 |
| Responses per respondent | 34 |
| Responses per item | 204 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | swe |
| construct name | Mood and Feelings Questionnaire (MFQ), self-report |
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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_age_group | Covariate | made in the build script |
cov_dx_adhd | Covariate | LADHDtotal |
cov_dx_anxiety | Covariate | LAnxietytotal_exkl_specfobi |
cov_dx_autism | Covariate | LAutismspektrumtotal |
cov_dx_depression | Covariate | LDepressiontotal |
cov_gender | Covariate | gender |
What item codes and covariate values stand for is in the codebook released with the source data.
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_self")
# Python
pip install irw
import irw
df = irw.fetch("jarbin_2020_mfq_self")
@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} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |