1,110 responses from 206 respondents to 6 items.
| Description | Responses to the CAT Knowledge Expertise trials, testing recognition that some characters are more knowledgeable than others in specific domains |
|---|---|
| Reference | Heise, M.J. and Bowman, L.C. (2025), The Comprehensive Assessment of Theory of Mind (CAT): A Novel Measure of 3- to 8-Year-Old Children's Theory of Mind and an Evaluation of Mental-State Scaling. Child Dev, 96: 1787-1806. https://doi.org/10.1111/cdev.14263 |
| DOI | 10.1111/cdev.14263 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/kgr9t/overview |
| Responses | 1,110 |
|---|---|
| Respondents | 206 |
| Items | 6 |
| Response categories | 3 |
| Responses per respondent | 5.388 |
| Responses per item | 185 |
| Density | 0.898 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Early (<6y), Child (6-12y) |
| sample | Internet-based, Targeted/specific |
| construct type | Cognitive/educational, Opinion/attitude |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Knowledge Expertise |
cov_agecov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("heise_2024_mental_knowexpert")
# Python
pip install irw
import irw
df = irw.fetch("heise_2024_mental_knowexpert")
| 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 |