jo_2023_sno

1,035 responses from 345 respondents to 3 items.

About this table

Description3-item Subjective Norms scale (7-point Likert, 1-7), from a COVID-19 survey of N=345 Korean and Vietnamese university students.
ReferenceJo H, Baek E (2023) Impacts of social isolation and risk perception on social networking intensity among university students during covid-19. PLoS ONE.
DOI10.1371/journal.pone.0283997
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0283997.s003

Size and shape

Responses1,035
Respondents345
Items3
Response categories7
Responses per respondent3
Responses per item345
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)kor, vie

Item text

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

InstrumentSubjective Norms (3-item scale adapted from Ajzen 1991, Theory of Planned Behavior)
Mean words per item17
Mean characters per item104
Mean characters per response2
Flesch-Kincaid grade level10.878

Columns

cov_agecov_gender_malecov_nationalityiditemresp

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("jo_2023_sno")
# Python
pip install irw

import irw
df = irw.fetch("jo_2023_sno")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0