pickova2025_moral_justifications

Name: pickova2025_moral_justifications
Creator: Item Response Warehouse
Published: 2026-09-19
License: CC BY 4.0

930 responses from 134 respondents to 7 items.

About this table

Description	Moral justifications for shopping on SHEIN/TEMU (7 items, 1-7) from a Czech consumer study (N=134).
Reference	Pickova, 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
Licence	CC BY 4.0
Source data	https://figshare.com/articles/dataset/30576341

Size and shape

Responses	930
Respondents	134
Items	7
Response categories	7
Responses per respondent	6.940
Responses per item	132.857
Density	0.991
Longitudinal	FALSE

Classification

sample	Internet-based
measurement tool	Survey/questionnaire
item format	Likert 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.

Instrument	Moral justifications for shopping on SHEIN/TEMU (study-authored 7-item neutralization scale)
Mean words per item	12.857
Mean characters per item	80.143
Mean characters per response	2
Flesch-Kincaid grade level	9.160

Columns

iditemresp

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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_moral_justifications")

# Python
pip install irw

import irw
df = irw.fetch("pickova2025_moral_justifications")

Version and provenance

IRW version	v393
Redivis dataset	item_response_warehouse_2 v19.0
Redivis dataset DOI	10.57761/qtx5-4m80
Manifest pin for this IRW version	v19.0
Metadata source	irw_meta v23.0