vermeiren_2022_art

51,570 responses from 236 respondents to 180 items.

About this table

DescriptionAuthor Recognition Test: Measures participants’ exposure to print and reading frequency by identifying real fiction authors among foils. Scores reflect general cultural literacy and reading habits rather than comprehension.
ReferenceVermeiren, H., Vandendaele, A., & Brysbaert, M. (2023). Validated tests for language research with university students whose native language is English: Tests of vocabulary, general knowledge, author recognition, and reading comprehension. Behavior Research Methods, 55(3), 1036-1068.
DOI10.3758/s13428-022-01856-x
LicenceCC BY 4.0
Source datahttps://osf.io/ef3s4/

Size and shape

Responses51,570
Respondents236
Items180
Response categories2
Responses per respondent218.517
Responses per item286.500
Density1.214
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng

Item text

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

InstrumentAuthor Recognition Test: Measures participants’ exposure to print and reading frequency by identifying real fiction authors among foils. Scores reflect general cultural literacy and reading habits rather than comprehension.
Mean words per item2.067
Mean characters per item13.500
Flesch-Kincaid grade level9.243

Columns

cov_agecov_countrycov_educationcov_gendercov_statuscov_studycov_workstatusiditemresp

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("vermeiren_2022_art")
# Python
pip install irw

import irw
df = irw.fetch("vermeiren_2022_art")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0