25,704 responses from 119 respondents to 216 items.
| Description | Assessed whether the Novel Object Memory Test (NOMT) instructions in English versus Spanish affect performance among bilingual participants. |
|---|---|
| Reference | Hooper, M. A., Tomarken, A., & Gauthier, I. (2024). Measuring visual ability in linguistically diverse populations. Behavior Research Methods, 57(1), 36. |
| DOI | 10.3758/s13428-024-02579-x |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.24395098.v2 |
| Responses | 25,704 |
|---|---|
| Respondents | 119 |
| Items | 216 |
| Response categories | 2 |
| Responses per respondent | 216 |
| Responses per item | 119 |
| Density | 1 |
| 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, spa |
| construct name | novel object memory tests (NOMTs) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Novel Object Memory Test (NOMT) |
|---|---|
| Mean words per item | 8.250 |
| Mean characters per item | 40.750 |
| Mean characters per response | 8 |
| Flesch-Kincaid grade level | 3.003 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("nomt_hooper_2024_study1")
# Python
pip install irw
import irw
df = irw.fetch("nomt_hooper_2024_study1")
| 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 |