56,592 responses from 393 respondents to 144 items.
The scored version of this table is nomt_hooper_2024_study2.
One of 3 tables from the same source; this one is the study2_nom table. The others are listed under Related tables.
| Description | Nominal companion of nomt_hooper_2024_study2: Novel Object Memory Test (3-alternative forced choice), study 2; text = which of the three options was chosen (1-3), resp = correct. |
|---|---|
| Reference | Hooper, M. A., Tomarken, A., & Gauthier, I. (2024). Measuring visual ability in linguistically diverse populations. Behavior Research Methods, 57(1), 36. |
| DOI | 10.3758/s13428-024-02579-x |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.24395098.v2 |
| Responses | 56,592 |
|---|---|
| Respondents | 393 |
| Items | 144 |
| Response categories | 3 |
| Responses per respondent | 144 |
cov_agecov_country_of_birthcov_country_of_residencecov_english_fluencycov_first_languagecov_gendercov_nationalitycov_spanish_fluencygroupiditemresprttext
id, item, resp, rt are defined in the IRW data standard and mean the same in every table. For the other columns, including what item codes and covariate values stand for, any codebook is the one released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("nomt_hooper_2024_study2_nom", source = "nom")
# Python
pip install irw
import irw
df = irw.fetch("nomt_hooper_2024_study2_nom", source="nom")
@article{Hooper_2024, title={Measuring visual ability in linguistically diverse populations}, volume={57}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-024-02579-x}, DOI={10.3758/s13428-024-02579-x}, number={1}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Hooper, Madison A. and Tomarken, Andrew and Gauthier, Isabel}, year={2024}, month=Dec }
| IRW version | v581 |
|---|---|
| Redivis dataset | irw_nominal v4.1 |
| Redivis dataset DOI | 10.57761/9hzd-dc70 |
| Manifest pin for this IRW version | v4.1 |
| Metadata source | irw_meta v44.0 |