scholarly journals Holistic Processing of Faces May Underlie Age Differences in Performance on Taiwanese Face Memory Test (TFMT)

2015 ◽  
Vol 15 (12) ◽  
pp. 171
Author(s):  
Gary Shyi ◽  
Kuan-Hao Cheng ◽  
Ya-Hsin Cheng ◽  
Vicky Chen
Keyword(s):  
Age Differences ◽  
Memory Test ◽  
Holistic Processing ◽  
Face Memory

Cambridge Face Memory Test

2006 ◽  
Author(s):  
Brad Duchaine ◽  
Ken Nakayama
Keyword(s):  
Memory Test ◽  
Face Memory

scholarly journals A Robust Method of Measuring Other-Race and Other-Ethnicity Effects: The Cambridge Face Memory Test Format

PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e47956 ◽  
Author(s):  
Elinor McKone ◽  
Sacha Stokes ◽  
Jia Liu ◽  
Sarah Cohan ◽  
Chiara Fiorentini ◽  
...  
Keyword(s):  
Memory Test ◽  
Test Format ◽  
Robust Method ◽  
Face Memory

Age differences in the association of physical activity, sociocognitive engagement, and TV viewing on face memory.

2015 ◽  
Vol 34 (1) ◽  
pp. 83-88 ◽  
Author(s):  
Jennifer J. Heisz ◽  
Susan Vandermorris ◽  
Johnny Wu ◽  
Anthony R. McIntosh ◽  
Jennifer D. Ryan
Keyword(s):  
Physical Activity ◽  
Age Differences ◽  
Tv Viewing ◽  
Face Memory

scholarly journals Item response theory analyses of the Cambridge Face Memory Test (CFMT).

2015 ◽  
Vol 27 (2) ◽  
pp. 552-566 ◽  
Author(s):  
Sun-Joo Cho ◽  
Jeremy Wilmer ◽  
Grit Herzmann ◽  
Rankin Williams McGugin ◽  
Daniel Fiset ◽  
...  
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Memory Test ◽  
Response Theory ◽  
Face Memory

scholarly journals Robust associations between the 20-item prosopagnosia index and the Cambridge Face Memory Test in the general population

2017 ◽  
Vol 4 (3) ◽  
pp. 160923 ◽  
Author(s):  
Katie L. H. Gray ◽  
Geoffrey Bird ◽  
Richard Cook
Keyword(s):  
Face Recognition ◽  
General Population ◽  
Validation Study ◽  
Memory Test ◽  
Self Report ◽  
Face Memory ◽  
Formal Testing ◽  
And Performance ◽  
Insight Into ◽  
Report Measure

Developmental prosopagnosia (DP) is a neurodevelopmental condition, characterized by lifelong face recognition deficits. Leading research groups diagnose the condition using complementary computer-based tasks and self-report measures. In an attempt to standardize the reporting of self-report evidence, we recently developed the 20-item prosopagnosia index (PI20), a short questionnaire measure of prosopagnosic traits suitable for screening adult samples for DP. Strong correlations between scores on the PI20 and performance on the Cambridge Face Memory Test (CFMT) appeared to confirm that individuals possess sufficient insight into their face recognition ability to complete a self-report measure of prosopagnosic traits. However, the extent to which people have insight into their face recognition abilities remains contentious. A lingering concern is that feedback from formal testing, received prior to administration of the PI20, may have augmented the self-insight of some respondents in the original validation study. To determine whether the significant correlation with the CFMT was an artefact of previously delivered feedback, we sought to replicate the validation study in individuals with no history of formal testing. We report highly significant correlations in two independent samples drawn from the general population, confirming: (i) that a significant relationship exists between PI20 scores and performance on the CFMT, and (ii) that this is not dependent on the inclusion of individuals who have previously received feedback. These findings support the view that people have sufficient insight into their face recognition abilities to complete a self-report measure of prosopagnosic traits.

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