47,840 responses from 299 respondents to 320 items.
| Description | Object matching tasks |
|---|---|
| Reference | Growns, B., Towler, A., & Martire, K. (2023). The novel object-matching test (NOM Test): A psychometric measure of visual comparison ability. Behavior research methods, 1-10. |
| DOI | 10.3758/s13428-023-02154-w |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/pv6ye/ |
| Responses | 47,840 |
|---|---|
| Respondents | 299 |
| Items | 320 |
| Response categories | 2 |
| Responses per respondent | 160 |
| Responses per item | 149.500 |
| Density | 0.500 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Novel Object-Matching Test (NOM Test) |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("novelobjectmatching")
# Python
pip install irw
import irw
df = irw.fetch("novelobjectmatching")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |