636,480 responses from 17,680 respondents to 36 items.
The scored version of this table is wilmer-rmet-normative-data-set-2022.
| Description | Unlike the RMET, our Multiracial Reading the Mind in the Eyes Test (MRMET) incorporates racially inclusive stimuli, nongendered answer choices, ground-truth referenced answers, and more accessible vocabulary. |
|---|---|
| Reference | Kim, H.A., Kaduthodil, J., Strong, R.W. et al. Multiracial Reading the Mind in the Eyes Test (MRMET): An inclusive version of an influential measure. Behav Res 56, 5900–5917 (2024). https://doi.org/10.3758/s13428-023-02323-x |
| DOI | 10.3758/s13428-023-02323-x |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/ahq6n/ |
| Responses | 636,480 |
|---|---|
| Respondents | 17,680 |
| Items | 36 |
| Response categories | 77 |
| Responses per respondent | 36 |
cov_agecov_countrycov_datasetcov_educationcov_education_rawcov_ethnicitycov_ethnicity_rawcov_gendercov_rmetdateiditemresptext
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("wilmer-rmet-normative-data-set-2022_nom", source = "nom")
# Python
pip install irw
import irw
df = irw.fetch("wilmer-rmet-normative-data-set-2022_nom", source="nom")
@article{Kim_2024, title={Multiracial Reading the Mind in the Eyes Test (MRMET): An inclusive version of an influential measure}, volume={56}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-023-02323-x}, DOI={10.3758/s13428-023-02323-x}, number={6}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Kim, Heesu Ally and Kaduthodil, Jasmine and Strong, Roger W and Germine, Laura T and Cohan, Sarah and Wilmer, Jeremy B}, year={2024}, month=Apr, pages={5900–5917} }
| 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 |