dou2025_wcts

17,204 responses from 748 respondents to 23 items.

One of 3 tables from the same source; this one is the wcts table. The others are listed under Related tables.

About this table

DescriptionWilliams Creative Tendency Scale (WCTS), 23 items, 1-5 Likert, N=748 Chinese university students
ReferenceDou, X., Zhang, Y., Wang, X., Zhang, Y., & Hou, R. (2025). The way aesthetic needs affects the relationship between aesthetic responsiveness and creativity. PLOS ONE.
DOI10.1371/journal.pone.0331067
LicenceCC BY 4.0
Source datahttps://plos.figshare.com/articles/dataset/_/30033097

Size and shape

Responses17,204
Respondents748
Items23
Response categories5
Responses per respondent23
Responses per item748
Density1
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, dou2025_aesthetics.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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_age_bandCovariate 2、您的年龄段:
cov_educationCovariate 4、受教育程度
cov_fieldCovariate 3、1. 您的学科为
cov_genderCovariate 1、您的性别:
cov_incomeCovariate 6、您的收入
cov_occupationCovariate 5、您的职业

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("dou2025_wcts")
# Python
pip install irw

import irw
df = irw.fetch("dou2025_wcts")

How to cite

@article{Dou_2025, title={The way aesthetic needs affects the relationship between aesthetic responsiveness and creativity}, volume={20}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0331067}, DOI={10.1371/journal.pone.0331067}, number={9}, journal={PLOS One}, publisher={Public Library of Science (PLoS)}, author={Dou, Xiaoxiao and Zhang, Yannan and Wang, Xiao and Zhang, Yan and Hou, Ruifeng}, editor={Norouzian-Maleki, Saeid}, year={2025}, month=Sept, pages={e0331067} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0