alves_2017_hamd17

4,937 responses from 291 respondents to 17 items.

About this table

Description17-item Hamilton Depression Rating Scale (HDRS-17), raw clinician-rated items, from a Rasch analysis of depressive symptom severity
ReferenceCarvalho Alves LP, Fleck MPA, et al. (2017) The Major Depressive Disorder Hierarchy: Rasch Analysis of 6 items of the Hamilton Depression Scale Covering the Continuum of Depressive Syndrome. PLoS ONE.
DOI10.1371/journal.pone.0170000
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0170000.s001

Size and shape

Responses4,937
Respondents291
Items17
Response categories5
Responses per respondent16.966
Responses per item290.412
Density0.998
LongitudinalFALSE

Classification

sampleClinical
measurement toolObservational rating
item formatLikert Scale/selected response
primary language(s)por

Item text

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

InstrumentHamilton Depression Rating Scale, 17-item version (HDRS-17 / HAM-D17)
Mean words per item7.493
Mean characters per item56.565
Mean characters per response16.971
Flesch-Kincaid grade level14.643

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, alves_2017_hamd17.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).Codigo
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

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("alves_2017_hamd17")
# Python
pip install irw

import irw
df = irw.fetch("alves_2017_hamd17")

How to cite

@article{Primo_de_Carvalho_Alves_2017, title={The Major Depressive Disorder Hierarchy: Rasch Analysis of 6 items of the Hamilton Depression Scale Covering the Continuum of Depressive Syndrome}, volume={12}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0170000}, DOI={10.1371/journal.pone.0170000}, number={1}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Primo de Carvalho Alves, Lucas and Pio de Almeida Fleck, Marcelo and Boni, Aline and Sica da Rocha, Neusa}, editor={Vrana, Kent E.}, year={2017}, month=Jan, pages={e0170000} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0