26,268 responses from 199 respondents to 132 items.
| Description | Author recognition test (DART) |
|---|---|
| Reference | Brysbaert, M., Sui, L., Dirix, N., & Hintz, F. (2020). Dutch Author Recognition Test. Journal of Cognition, 3(1), 6. https://doi.org/10.5334/joc.95 |
| DOI | 10.5334/joc.95 |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://osf.io/u4vhs/ |
| Responses | 26,268 |
|---|---|
| Respondents | 199 |
| Items | 132 |
| Response categories | 2 |
| Responses per respondent | 132 |
| Responses per item | 199 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
| construct name | Dutch Author Recognition Test (DART and DART_R) |
cov_agecov_gendercov_mother_languageiditemresp
Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("DART_Brysbaert_2020_1")
# Python
pip install irw
import irw
df = irw.fetch("DART_Brysbaert_2020_1")
| 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 |