art

70,100 responses from 1,402 respondents to 50 items.

About this table

DescriptionData from the author recognition test
ReferenceMcCarron, S.P., Kuperman, V. Is the author recognition test a useful metric for native and non-native English speakers? An item response theory analysis. Behav Res 53, 2226–2237 (2021). https://doi.org/10.3758/s13428-021-01556-y
DOI10.3758/s13428-021-01556-y
LicenceCC BY 4.0
Source datahttps://osf.io/xacbt/?view_only=c2151ae633924b0993ae0bebf7e0a074

Size and shape

Responses70,100
Respondents1,402
Items50
Response categories2
Responses per respondent50
Responses per item1,402
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameAuthor Recognition Test

Item text

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

InstrumentAuthor Recognition Test (ART)
Mean words per item2.140
Mean characters per item13.320
Mean characters per response9
Flesch-Kincaid grade level7.627

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, art.R. 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("art")
# Python
pip install irw

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

How to cite

@article{McCarron_2021, title={Is the author recognition test a useful metric for native and non-native English speakers? An item response theory analysis}, volume={53}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-021-01556-y}, DOI={10.3758/s13428-021-01556-y}, number={5}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={McCarron, Sean Patrick and Kuperman, Victor}, year={2021}, month=apr, pages={2226–2237} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v40.0