4,835 responses from 9 respondents to 2 items.
| Description | The stop-signal paradigm has become ubiquitous in investigations of inhibitory control. Tasks inspired by the paradigm, referred to as stop-signal tasks, require participants to make responses on go trials and to inhibit those responses when presented with a stop-signal on stop trials. |
|---|---|
| Reference | He, J.L., Hirst, R.J., Puri, R. et al. OSARI, an Open-Source Anticipated Response Inhibition Task. Behav Res 54, 1530–1540 (2022). https://doi.org/10.3758/s13428-021-01680-9 |
| DOI | 10.3758/s13428-021-01680-9 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/tw46u/files/osfstorage |
| Responses | 4,835 |
|---|---|
| Respondents | 9 |
| Items | 2 |
| Response categories | 2 |
| Responses per respondent | 537.222 |
| Responses per item | 2417.500 |
| Density | 268.611 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| sample | Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | gamified AR based |
cov_scov_sscov_ssdiditemresprt
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("matzke-experiment3-gamified-2022")
# Python
pip install irw
import irw
df = irw.fetch("matzke-experiment3-gamified-2022")
| 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 |