26,268 responses from 199 respondents to 132 items.
One of 2 tables from the same source; this one is the 1 table. The others are listed under Related tables.
| 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) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, DART_Brysbaert_2020.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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | Toegangscode |
item | IRW standard Item identifier. | Name |
resp | IRW standard Response value. | Correct |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_mother_language | Covariate | not traced |
What item codes and covariate values stand for is in the codebook released with the source data.
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 (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("DART_Brysbaert_2020_1")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("DART_Brysbaert_2020_1")
@article{Brysbaert_2020, title={Dutch Author Recognition Test}, volume={3}, ISSN={2514-4820}, url={http://dx.doi.org/10.5334/joc.95}, DOI={10.5334/joc.95}, number={1}, journal={Journal of Cognition}, publisher={Ubiquity Press, Ltd.}, author={Brysbaert, Marc and Sui, Longjiao and Dirix, Nicolas and Hintz, Florian}, year={2020}, month=mar, pages={6} }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v37.0 |