Item Response Warehouse / Tables / artart
70,100 responses from 1,402 respondents to 50 items.
About this table
Description Data from the author recognition test Reference McCarron, 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 DOI 10.3758/s13428-021-01556-y Licence CC BY 4.0 Source data https://osf.io/xacbt/?view_only=c2151ae633924b0993ae0bebf7e0a074
Size and shape
Responses 70,100 Respondents 1,402 Items 50 Response categories 2 Responses per respondent 50 Responses per item 1,402 Density 1 Longitudinal FALSE
Classification
age range Adult (18+) sample Educational construct type Cognitive/educational measurement tool Test item format Likert Scale/selected response primary language(s) eng construct name Author Recognition Test
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Author Recognition Test (ART) Mean words per item 2.140 Mean characters per item 13.320 Mean characters per response 9 Flesch-Kincaid grade level 7.627
Get the data
Or load it directly in R or Python:
# 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")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse v53.0 Redivis dataset DOI 10.57761/4g08-xt41 Manifest pin for this IRW version v53.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse v53.0.