ptcichina_zhan_2024

78,375 responses from 1,206 respondents to 33 items.

About this table

DescriptionThe Posttraumatic Cognitions Inventory (PTCI) is a widely used self-report tool to assess negative posttraumatic cognitions about self, world, and self-blame
ReferenceZhan, N. (2024, September 4). Factor structure, measurement invariance, and psychometric properties of the Posttraumatic Cognitions Inventory (PTCI) and its brief version (PTCI-9) in Chinese adolescents and adults. https://doi.org/10.17605/OSF.IO/TJ8RH
DOI10.1037/pas0001309
LicenceCC BY 4.0
Source datahttps://osf.io/tj8rh/files/qr6ae

Size and shape

Responses78,375
Respondents1,206
Items33
Response categories7
Responses per respondent64.988
Responses per item2,375
Density1.969
LongitudinalFALSE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational, Internet-based
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi
construct namePosttraumatic Cognitions Inventory (PTCI)

Item text

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

InstrumentPosttraumatic Cognitions Inventory (PTCI)
Mean words per item8.515
Mean characters per item42.576
Mean characters per response14.286
Flesch-Kincaid grade level3.940

Columns

cov_agecov_locationcov_sexiditemresp

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("ptcichina_zhan_2024")
# Python
pip install irw

import irw
df = irw.fetch("ptcichina_zhan_2024")

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