hewei_2022_msva_purchase

10,528 responses from 752 respondents to 14 items.

About this table

DescriptionMobile short-video-app (MSVA) clothing purchase intention survey; 14 items 1-5 scale; N=752
ReferenceHewei T. (2022). Factors affecting clothing purchase intention in mobile short video app: Mediation of perceived value and immersion experience. PLOS ONE. https://doi.org/10.1371/journal.pone.0273968
DOI10.1371/journal.pone.0273968
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0273968.s001

Size and shape

Responses10,528
Respondents752
Items14
Response categories5
Responses per respondent14
Responses per item752
Density1
LongitudinalFALSE

Classification

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

Item text

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

InstrumentMSVA clothing purchase questionnaire (media interactivity, perceived value, immersion experience, purchase intention)
Mean words per item11.714
Mean characters per item68.500
Mean characters per response7.400
Flesch-Kincaid grade level7.672

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, hewei_2022_msva_purchase.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).Unnamed: 0
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_age_bandCovariate Your age is?
cov_completion_time_sCovariate Unnamed: 1
cov_ecommerce_experienceCovariate Your social e-commerce Purchase experience is?
cov_educationCovariate Your education is?
cov_genderCovariate Your gender is?
cov_income_bandCovariate Your Monthly income is?

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("hewei_2022_msva_purchase")
# Python
pip install irw

import irw
df = irw.fetch("hewei_2022_msva_purchase")

How to cite

@article{Hewei_2022, title={Factors affecting clothing purchase intention in mobile short video app: Mediation of perceived value and immersion experience}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0273968}, DOI={10.1371/journal.pone.0273968}, number={9}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Hewei, Tian}, editor={Benetreau, Yann}, year={2022}, month=Sept, pages={e0273968} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0