Keywords
Face Perception
Super Recognizers
How to Cite
Abstract
Recognizing faces is important in our lifes. We require two skills to recognize a face: seeing and interpreting facial features (face perception) and recalling faces we've seen before (face memory). Recent research has found a broad variety of individual variability within face memory, ranging from prosopagnosia to super-recognition yet comprehensive examinations of individual variances in facial perception remain limited. Since the surfacing of these individual differences, there has been a growing need for normative tests to assess these cognitive abilities, notably face perception and face memory. Consequently, this study aims to adapt the Kent Face Matching Test short form (KFMT-short form; Fysh & Bindemann, 2018), a novel test offering higher ecological validity than tests commonly used in the literature, to the Turkish sample (N= 367; 106 M, 266 F). The reliability analysis primarily focuses on Cronbach's alpha internal consistency coefficient (between .593 - .624), item analyses, split-half reliability (Spearman-Brown coefficient .63), and test-retest (rs= .561, p < .001) reliability. Additionally, we investigated the discriminant validity with the Cambridge Face Memory Test long form (Duchaine & Nakayama, 2004) measuring face memory (rs = .188, p = .026). The convergent validity (rs = .42, p < .001) was tested with the Glasgow Face Matching Test (Burton et al., 2010) measuring similar constructs related to face perception. The findings of this study suggest that the KFMT can be used to test individuals' face matching ability in Türkiye. The study's original contribution is a thorough analysis of the psychometric properties of the Turkish version of KFMT, which was administered to a wide range of participants with various educations and places of residence, demonstrating a range of performance across the proficiency spectrum. Keywords:
Kent Face Matching Test, Face Perception, Super Recognizers
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