Item Response Warehouse / Tables / hewei_2022_msva_purchasehewei_2022_msva_purchase
10,528 responses from 752 respondents to 14 items.
About this table
Description Mobile short-video-app (MSVA) clothing purchase intention survey; 14 items 1-5 scale; N=752 Reference Hewei 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 DOI 10.1371/journal.pone.0273968 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0273968.s001
Size and shape
Responses 10,528 Respondents 752 Items 14 Response categories 5 Responses per respondent 14 Responses per item 752 Density 1 Longitudinal FALSE
Classification
sample Internet-based measurement tool Survey/questionnaire item format Likert 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.
Instrument MSVA clothing purchase questionnaire (media interactivity, perceived value, immersion experience, purchase intention) Mean words per item 11.714 Mean characters per item 68.500 Mean characters per response 7.400 Flesch-Kincaid grade level 7.672
Columns
cov_age_band cov_completion_time_s cov_ecommerce_experience cov_education cov_gender cov_income_band id item resp
Get the data
Or load it directly in R or Python:
# 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")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_3 v7.0 Redivis dataset DOI 10.57761/pqqn-pm43 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_3 v7.0.