K-PCQ_Huh_2022

4,291 responses from 358 respondents to 12 items.

About this table

DescriptionPornography Craving Questionnaire
ReferenceKim, S. R., Bhang, S. Y., Lim, E. Y., Huh, S., Lee, S. K., Kraus, S. W., & Potenza, M. N. (2021). Reliability, validity, and unidimensionality of the korean version of the pornography craving questionnaire based on the classical test theory and item response theory. Psychiatry Investigation, 18(6), 530. Huh, Sun, 2022, "Reliability and Validity of the Korean version of the Pornography Craving Questionnaire (K-PCQ) Based on the Classical Test Theory and Item Response Theory", https://doi.org/10.7910/DVN/SHCUI4, Harvard Dataverse, V1, UNF:6:VPKw8BmFFoIUfDmw64VHVA== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SHCUI4

Size and shape

Responses4,291
Respondents358
Items12
Response categories7
Responses per respondent11.986
Responses per item357.583
Density0.999
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeAffective/mental health, Opinion/attitude
measurement toolTest
item formatLikert Scale/selected response
primary language(s)kor
construct nameReliability and Validity of the Korean version of the Pornography Craving Questionnaire (K-PCQ) Based on the Classical Test Theory and Item Response Theory

Item text

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

InstrumentKorean version of the Pornography Craving Questionnaire (K-PCQ)
Mean words per item10.167
Mean characters per item51.417
Mean characters per response8.714
Flesch-Kincaid grade level2.496

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, K-PCQ_Huh_2022.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).not traced
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("K-PCQ_Huh_2022")
# Python
pip install irw

import irw
df = irw.fetch("K-PCQ_Huh_2022")

How to cite

@misc{https://doi.org/10.7910/dvn/shcui4,
  doi = {10.7910/DVN/SHCUI4},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/SHCUI4},
  author = {Huh, Sun},
  keywords = {Medicine, Health and Life Sciences, K-PCQ, Reliability, Validity, Item Response Theory, Rasch Model},
  title = {Reliability and Validity of the Korean version of the Pornography Craving Questionnaire (K-PCQ) Based on the Classical Test Theory and Item Response Theory},
  publisher = {Harvard Dataverse},
  year = {2022}
}

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