MEFSIRODGAS_Nileksela_2023_severity

45,409 responses from 499 respondents to 91 items.

One of 2 tables from the same source; this one measures Depression and Generalized Anxiety Scales rated by severity. The others are listed under Related tables.

About this table

DescriptionDepression and Generalized Anxiety Scales rated by severity
ReferenceNiileksela, C. R., & Jones, N. B. (2023). Measurement Equality of Frequency and Severity Item Response Options on Depression and Generalized Anxiety Scales. Assessment, 30(6), 2016-2028.
DOI10.1177/10731911221134599
LicenceCC BY 4.0
Source datahttps://osf.io/khwzy/?view_only=

Size and shape

Responses45,409
Respondents499
Items91
Response categories5
Responses per respondent91
Responses per item499
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based, Targeted/specific
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameDepression and Generalized Anxiety Scales rated by severity

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, MEFSIRODGAS_Nileksela_2023.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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Other columns
ageFrom source Not defined by the IRW standard; the source column’s codebook entry gives its meaning.Age

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("MEFSIRODGAS_Nileksela_2023_severity")
# Python
pip install irw

import irw
df = irw.fetch("MEFSIRODGAS_Nileksela_2023_severity")

How to cite

@article{Niileksela_2022, title={Measurement Equality of Frequency and Severity Item Response Options on Depression and Generalized Anxiety Scales}, volume={30}, ISSN={1552-3489}, url={http://dx.doi.org/10.1177/10731911221134599}, DOI={10.1177/10731911221134599}, number={6}, journal={Assessment}, publisher={SAGE Publications}, author={Niileksela, Christopher R. and Jones, Nathan B.}, year={2022}, month=nov, pages={2016–2028} }

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0