10,276 responses from 79 respondents to 304 items.
| Description | Online IAT measuring implicit math-gender stereotypes |
|---|---|
| Reference | Cvencek, D., Sanders, E. A., Maddox, C. D., & Meltzoff, A. N. (2025). New online tools to assess children’s implicit social cognition: Replication and generalization of in-person research. Journal of Educational Psychology, 117(7), 1115–1136. https://doi.org/10.1037/edu0000953 |
| DOI | 10.1037/edu0000953 |
| Licence | CC BY-NC-ND |
| Source data | https://osf.io/w35zk/ |
| Responses | 10,276 |
|---|---|
| Respondents | 79 |
| Items | 304 |
| Response categories | 2 |
| Responses per respondent | 130.076 |
| Responses per item | 33.803 |
| Density | 0.428 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Early (<6y), Child (6-12y) |
| sample | Targeted/specific |
| construct type | Cognitive/educational, Opinion/attitude |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | IAT Math–gender stereotype |
cov_modalityiditemresprt
Licence: CC BY-NC-ND — non-commercial use only; no derivative works may be shared.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("childrensocialcognition_cvencek_2025_genderingroupbias")
# Python
pip install irw
import irw
df = irw.fetch("childrensocialcognition_cvencek_2025_genderingroupbias")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |