19,260 responses from 220 respondents to 90 items.
| Description | Yes/no responses to the Lextale-Esp vocabulary decision task in Study 2 |
|---|---|
| Reference | Bermúdez-Margaretto, B., Brysbaert, M. How efficient is translation in language testing? Deriving valid student vocabulary tests in Spanish (StuVoc1-Esp and StuVoc2-Esp) from established English tests. Behav Res 57, 183 (2025). https://doi.org/10.3758/s13428-025-02708-0 |
| DOI | 10.3758/s13428-025-02708-0 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/c8n2x/ |
| Responses | 19,260 |
|---|---|
| Respondents | 220 |
| Items | 90 |
| Response categories | 2 |
| Responses per respondent | 87.545 |
| Responses per item | 214 |
| Density | 0.973 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Targeted/specific |
| construct type | Other |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng, spa |
| construct name | Lextale-Esp (Spanish vocabulary form-recognition) |
cov_agecov_countrycov_educationlevelcov_gendercov_motherlanguagecov_multilingualcov_occupationiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("margaretto_2025_translation_study_2_lextale")
# Python
pip install irw
import irw
df = irw.fetch("margaretto_2025_translation_study_2_lextale")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |