Item Response Warehouse / Tables / huang_2023_utaut_mobile_shoppinghuang_2023_utaut_mobile_shopping
14,384 responses from 389 respondents to 37 items.
About this table
Description UTAUT2 mobile-shopping questionnaire, 37 items on a 1-7 scale; itemcov_construct carries the UTAUT2 construct. 14,384 responses from 389 respondents on 37 items. Reference Huang, T. (2023). Research questionnaire data [Data set]. figshare. Supporting PLOS ONE 18(12), e0295581. https://doi.org/10.1371/journal.pone.0295581 DOI 10.1371/journal.pone.0295581 Licence CC BY 4.0 Source data https://doi.org/10.6084/m9.figshare.24811462
Size and shape
Responses 14,384 Respondents 389 Items 37 Response categories 7 Responses per respondent 36.977 Responses per item 388.757 Density 0.999 Longitudinal FALSE
Classification
measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) chi
Columns
cov_age_range cov_education cov_gender cov_mobile_shopping_experience cov_phone_experience id item itemcov_construct 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("huang_2023_utaut_mobile_shopping")
# Python
pip install irw
import irw
df = irw.fetch("huang_2023_utaut_mobile_shopping")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 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_4 v7.0.