diredja_2025_utaut2

4,727 responses from 163 respondents to 29 items.

About this table

DescriptionUTAUT2 questionnaire on online hobby-shop purchasing, 29 items in 9 constructs, 1-6; N = 163; cov_age_group, cov_gender, cov_purchase_frequency.
ReferenceDiredja, A. L., & Luwes, A. (2025). Online Hobby Shop Questionnaire Dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15229709
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/15229709

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses4,727
Respondents163
Items29
Response categories6
Responses per respondent29
Responses per item163
Density1
LongitudinalFALSE

Classification

age rangeMixed
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameUTAUT2 (technology acceptance) for online hobby shops

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, diredja_2025_utaut2.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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_age_groupCovariate Age
cov_genderCovariate Gender
cov_purchase_frequencyCovariate made in the build script

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("diredja_2025_utaut2")
# Python
pip install irw

import irw
df = irw.fetch("diredja_2025_utaut2")

How to cite

@misc{https://doi.org/10.5281/zenodo.15229709,
  doi = {10.5281/ZENODO.15229709},
  url = {https://zenodo.org/doi/10.5281/zenodo.15229709},
  author = {Diredja, Andrew Lawrence and Luwes, Astro},
  title = {Online Hobby Shop Questionnaire Dataset},
  publisher = {Zenodo},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0