liu_2022_fragreading_frq

20,152 responses from 916 respondents to 22 items.

About this table

Description22-item Fragmented Reading Questionnaire (5-point Likert), Chinese university students, n=916
ReferenceLiu W, Huang H, Saleem A, Zhao Z (2022). The effects of university students' fragmented reading on cognitive development in the new media age: evidence from Chinese higher education. PeerJ.
DOI10.7717/peerj.13861
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC9415515

Size and shape

Responses20,152
Respondents916
Items22
Response categories5
Responses per respondent22
Responses per item916
Density1
LongitudinalFALSE

Classification

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

Item text

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

InstrumentFragmented Reading Questionnaire (FRQ)
Mean words per item17.091
Mean characters per item89.727
Mean characters per response4
Flesch-Kincaid grade level7.764

Columns

cov_agecov_c6cov_c7cov_degree_levelcov_gendercov_gradecov_majoriditemresp

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("liu_2022_fragreading_frq")
# Python
pip install irw

import irw
df = irw.fetch("liu_2022_fragreading_frq")

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