Bobak, A. K., Pampoulov, P. and Bate, S., 2016. Detecting Superior Face Recognition Skills in a Large Sample of Young British Adults. Frontiers in Psychology, 7 (September), 1378.
Full text available as:
|
PDF (OPEN ACCESS ARTICLE)
fpsyg-07-01378.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. 518kB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
Abstract
The Cambridge Face Memory Test Long Form (CFMT+) and Cambridge Face Perception Test (CFPT) are typically used to assess the face processing ability of individuals who believe they have superior face recognition skills. Previous large-scale studies have presented norms for the CFPT but not the CFMT+. However, previous research has also highlighted the necessity for establishing country-specific norms for these tests, indicating that norming data is required for both tests using young British adults. The current study addressed this issue in 254 British participants. In addition to providing the first norm for performance on the CFMT+ in any large sample, we also report the first UK specific cut-off for superior face recognition on the CFPT. Further analyses identified a small advantage for females on both tests, and only small associations between objective face recognition skills and self-report measures. A secondary aim of the study was to examine the relationship between trait or social anxiety and face processing ability, and no associations were noted. The implications of these findings for the classification of super-recognizers are discussed.
Item Type: | Article |
---|---|
ISSN: | 1664-1078 |
Group: | Faculty of Health & Social Sciences |
ID Code: | 24790 |
Deposited By: | Symplectic RT2 |
Deposited On: | 28 Sep 2016 13:19 |
Last Modified: | 14 Mar 2022 13:59 |
Downloads
Downloads per month over past year
Repository Staff Only - |