17,307 responses from 17,307 respondents to 7 items.
| Description | argumentative essays from U.S. secondary students |
|---|---|
| Reference | Crossley, S. A., Baffour, P., Burleigh, L., & King, J. (2025). A large-scale corpus for assessing source-based writing quality: ASAP 2.0. Assessing Writing, 65, 100954. |
| DOI | 10.1016/j.asw.2025.100954 |
| Licence | CC BY 4.0 |
| Source data | https://github.com/scrosseye/ASAP_2.0/blob/main/ASAP_2_Final_github_train.zip |
| Responses | 17,307 |
|---|---|
| Respondents | 17,307 |
| Items | 7 |
| Response categories | 17,307 |
| Responses per respondent | 1 |
cov_economically_disadvantagedcov_ell_statuscov_gendercov_grade_levelcov_race_ethnicitycov_student_disability_statusiditemresptext
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("asap20train_nom", source = "nom")
# Python
pip install irw
import irw
df = irw.fetch("asap20train_nom", source="nom")
@article{Crossley_2025, title={A large-scale corpus for assessing source-based writing quality: ASAP 2.0}, volume={65}, ISSN={1075-2935}, url={http://dx.doi.org/10.1016/j.asw.2025.100954}, DOI={10.1016/j.asw.2025.100954}, journal={Assessing Writing}, publisher={Elsevier BV}, author={Crossley, Scott A. and Baffour, Perpetual and Burleigh, L. and King, Jules}, year={2025}, month=July, pages={100954} }
| IRW version | v439 |
|---|---|
| Redivis dataset | irw_nominal v2.0 |
| Redivis dataset DOI | 10.57761/we2p-ym20 |
| Manifest pin for this IRW version | v2.0 |
| Metadata source | irw_meta v27.0 |