1,110 responses from 206 respondents to 6 items.
One of 8 tables from the same source; this one measures Knowledge Expertise. The others are listed under Related tables.
| 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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, heise_2024_mental.do. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | `var' |
| Respondent covariates | ||
cov_age | Covariate | ageyrsround |
cov_sex | Covariate | sex |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("heise_2024_mental_knowexpert")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("heise_2024_mental_knowexpert")
@article{Heise_2025, title={The Comprehensive Assessment of Theory of Mind (
<scp>CAT</scp>
): A Novel Measure of 3‐ to 8‐Year‐Old Children’s Theory of Mind and an Evaluation of Mental‐State Scaling}, volume={96}, ISSN={1467-8624}, url={http://dx.doi.org/10.1111/cdev.14263}, DOI={10.1111/cdev.14263}, number={5}, journal={Child Development}, publisher={Wiley}, author={Heise, Megan J. and Bowman, Lindsay C.}, year={2025}, month=jul, pages={1787–1806} }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v37.0 |