91,800 responses from 2,515 respondents to 73 items.
| 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 | 91,800 |
|---|---|
| Respondents | 2,515 |
| Items | 73 |
| Response categories | 2 |
| Responses per respondent | 36.501 |
| Responses per item | 1257.534 |
| Density | 0.500 |
| Longitudinal | TRUE |
| age range | Non-human |
|---|---|
| sample | Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Validation Dataset |
cov_agecov_asccov_countrycov_datasetcov_dsm_totalcov_educationcov_education_rawcov_ethnicitycov_ethnicity_rawcov_gendercov_mrmet1cov_mrmet2cov_rmet1cov_rmet2cov_vocabdateiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("wilmer-mrmet-and-rmet-validation-data-set-2022")
# Python
pip install irw
import irw
df = irw.fetch("wilmer-mrmet-and-rmet-validation-data-set-2022")
| 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 |