halim_2025_digital_finance

1,850 responses from 370 respondents to 5 items.

One of 7 tables from the same source; this one measures Digital finance use/perception. The others are listed under Related tables.

About this table

DescriptionDigital finance use/perception (DFC1-5); 5 items, 1-5; 370 users of digital financial services (Indonesia; purposive Google Forms sample); covariates: none.
ReferenceHalim, E., Edita, F., & Tosin, A. D. P. (2025). User Perception of the Digital Financial Services and Its Impact on Financial Well-Being [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14718556
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/14718556

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

Responses1,850
Respondents370
Items5
Response categories5
Responses per respondent5
Responses per item370
Density1
LongitudinalFALSE

Classification

sampleInternet-based
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ind
construct nameDigital finance use/perception

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, halim_2025_digital_finance.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

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("halim_2025_digital_finance")
# Python
pip install irw

import irw
df = irw.fetch("halim_2025_digital_finance")

How to cite

@misc{https://doi.org/10.5281/zenodo.14718556,
  doi = {10.5281/ZENODO.14718556},
  url = {https://zenodo.org/doi/10.5281/zenodo.14718556},
  author = {Halim, Erwin and Edita, Felicia and Tosin, Alexius David Perkasa},
  title = {User Perception of the Digital Financial Services and Its Impact on Financial Well-Being},
  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