mpsycho_rogers_ocd

4,950 responses from 495 respondents to 10 items.

About this table

DescriptionYaleBrown Obsessive Compulsive Scale - self-report (Y-BOCS-SR)
ReferenceJones, P. J., Mair, P., Riemann, B. C., Mugno, B. L., & McNally, R. J. (2018). A network perspective on comorbid depression in adolescents with obsessive-compulsive disorder. Journal of Anxiety Disorders, 53, 1-8. #’
DOI10.1016/j.janxdis.2017.09.008
LicenceGPL-2.0
Source datahttps://cran.r-project.org/web/packages/MPsychoR/index.html

Size and shape

Responses4,950
Respondents495
Items10
Response categories5
Responses per respondent10
Responses per item495
Density1
LongitudinalFALSE

Classification

age rangeMixed
sampleClinical
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameYaleBrown Obsessive Compulsive Scale - self-report (Y-BOCS-SR)

Item text

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

InstrumentYaleBrown Obsessive Compulsive Scale - self-report (Y-BOCS-SR)
Mean words per item21
Mean characters per item124.700
Mean characters per response49.260
Flesch-Kincaid grade level6.245

Columns

cov_sampleiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mpsycho_rogers_ocd")
# Python
pip install irw

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

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0