2,463 responses from 7 respondents to 2 items.
One of 5 tables from the same source. The others are listed under Related tables.
| 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 | 2,463 |
|---|---|
| Respondents | 7 |
| Items | 2 |
| Response categories | 2 |
| Responses per respondent | 351.857 |
| Responses per item | 1231.500 |
| Density | 175.929 |
| 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 | Standard AR based |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
rt | IRW standard Response time. | not traced |
| Respondent covariates | ||
cov_s | Covariate | not traced |
cov_ss | Covariate | not traced |
cov_ssd | Covariate | not traced |
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 (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("matzke-experiment1-2022")
# Python
pip install irw
import irw
df = irw.fetch("matzke-experiment1-2022")
@article{He_2021, title={OSARI, an Open-Source Anticipated Response Inhibition Task}, volume={54}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-021-01680-9}, DOI={10.3758/s13428-021-01680-9}, number={3}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={He, Jason L. and Hirst, Rebecca J. and Puri, Rohan and Coxon, James and Byblow, Winston and Hinder, Mark and Skippen, Patrick and Matzke, Dora and Heathcote, Andrew and Wadsley, Corey G. and Silk, Tim and Hyde, Christian and Parmar, Dinisha and Pedapati, Ernest and Gilbert, Donald L. and Huddleston, David A. and Mostofsky, Stewart and Leunissen, Inge and MacDonald, Hayley J. and Chowdhury, Nahian S. and Gretton, Matthew and Nikitenko, Tess and Zandbelt, Bram and Strickland, Luke and Puts, Nicolaas A. J.}, year={2021}, month=nov, pages={1530–1540} }
| IRW version | v566 |
|---|---|
| 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 v43.0 |