pickova2025_behavioral_intent

532 responses from 133 respondents to 4 items.

About this table

DescriptionBehavioral intention toward SHEIN/TEMU (4 items, 1-7) from a Czech consumer study (N=133).
ReferencePickova, T. et al. (2025). Dataset for understanding consumers attitude-behavior gap on TEMU and SHEIN [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.30576341.v2
LicenceCC BY 4.0
Source datahttps://figshare.com/articles/dataset/30576341

Size and shape

Responses532
Respondents133
Items4
Response categories7
Responses per respondent4
Responses per item133
Density1
LongitudinalFALSE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)cze

Item text

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

InstrumentAttitude-Behavior Gap on TEMU and SHEIN survey (Picková 2025) - behavioral intention items
Mean words per item9.500
Mean characters per item56.500
Mean characters per response2
Flesch-Kincaid grade level7.048

Columns

iditemresp

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("pickova2025_behavioral_intent")
# Python
pip install irw

import irw
df = irw.fetch("pickova2025_behavioral_intent")

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