8,300 responses from 415 respondents to 20 items.
| Description | Super-Recognizer Questionnaire (SRQ), 20 self-report items on a 1-5 scale; 415 adults pooled from a top-end civilian sample (n=264) and a police sample (n=151). |
|---|---|
| Reference | Bate S, Dudfield G. 2019. Subjective assessment for super recognition: an evaluation of self-report methods in civilian and police participants. PeerJ 7:e6330. |
| DOI | 10.7717/peerj.6330 |
| Licence | CC BY 4.0 |
| Source data | https://peerj.com/articles/6330/#supplementary-material |
| Responses | 8,300 |
|---|---|
| Respondents | 415 |
| Items | 20 |
| Response categories | 5 |
| Responses per respondent | 20 |
| Responses per item | 415 |
| Density | 1 |
| Longitudinal | FALSE |
cov_agecov_gendercov_groupcov_studyiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("bate_2019_srq")
# Python
pip install irw
import irw
df = irw.fetch("bate_2019_srq")
@article{Bate_2019, title={Subjective assessment for super recognition: an evaluation of self-report methods in civilian and police participants}, volume={7}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.6330}, DOI={10.7717/peerj.6330}, journal={PeerJ}, publisher={PeerJ}, author={Bate, Sarah and Dudfield, Gavin}, year={2019}, month=Jan, pages={e6330} }
| IRW version | v439 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v3.7 |
| Redivis dataset DOI | 10.57761/k0pn-7r67 |
| Manifest pin for this IRW version | v3.6 |
| Metadata source | irw_meta v27.0 |