torok_2025_data_security

10,851 responses from 997 respondents to 12 items.

About this table

DescriptionHow secure personal data is felt to be with each of 12 named institutions and platforms, 1-4 scale, a nationally representative CATI sample of Hungarian adults, fielded 2019. 10,851 responses from 997 respondents on 12 items.
ReferenceTorok, B., Rab, A., Punkosty, A., Labody, P., Sorban, K., Menyhard, A., Szikora, T., Vadasz, P., & Zodi, Z. (2025). Trust, Awareness, and Risk Perception in the Online Environment [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15168213
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/15168213

Size and shape

Responses10,851
Respondents997
Items12
Response categories4
Responses per respondent10.884
Responses per item904.250
Density0.907
LongitudinalFALSE

Classification

age rangeAdult (18+)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)hun

Item text

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

InstrumentMennyire érzi, érezné biztonságban ezeket a személyes adatokat a következő területeken?
Mean words per item3
Mean characters per item30.250
Mean characters per response12.750
Flesch-Kincaid grade level11.729

Columns

cov_agecov_children_under14cov_countycov_educationcov_gendercov_household_sizecov_regioncov_settlement_typeiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("torok_2025_data_security")
# Python
pip install irw

import irw
df = irw.fetch("torok_2025_data_security")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_5 v4.0
Redivis dataset DOI10.57761/yvjw-0981
Manifest pin for this IRW versionv4.0
Metadata sourceirw_meta v23.0