5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Bayesian regression-based developmental norms for the Benton Facial Recognition Test in males and females.

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Face identity recognition is important for social interaction and is impaired in a range of clinical disorders, including several neurodevelopmental disorders. The Benton Facial Recognition Test (BFRT; Benton & Van Allen, 1968), a widely used assessment of identity recognition, is the only standardized test of face identity perception, as opposed to face memory, that has been normed on children and adolescents. However, the existing norms for the BFRT are suboptimal, with several ages not represented and no established time limit (which can lead to inflated scores by allowing individuals with prosopagnosia to use feature matching). Here we address these issues with a large normative dataset of children and adolescents (ages 5-17, N = 398) and adults (ages 18-55; N = 120) who completed a time-limited version of the BFRT. Using Bayesian regression, we demonstrate that face identity perception increases asymptotically from childhood through adulthood, and provide continuous norms based on age and sex that can be used to calculate standard scores. We show that our time limit of 16 seconds per item yields scores comparable to the existing norms without time limits from the non-prosopagnostic samples. We also find that females (N = 156) score significantly higher than males (N = 362), supporting the existence of a female superiority effect for face identification. Overall, these results provide more robust norms for the BFRT and promote future research on face identity perception in developmental populations.

          Related collections

          Author and article information

          Journal
          Behav Res Methods
          Behavior research methods
          Springer Science and Business Media LLC
          1554-3528
          1554-351X
          Aug 2020
          : 52
          : 4
          Affiliations
          [1 ] Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA. leahwang@sas.upenn.edu.
          [2 ] Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA. leahwang@sas.upenn.edu.
          [3 ] Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
          [4 ] Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
          [5 ] Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
          [6 ] Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA.
          [7 ] Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
          Article
          NIHMS1548325 10.3758/s13428-019-01331-0
          10.3758/s13428-019-01331-0
          7335687
          31907754
          be12d993-277e-447f-b5cd-9392e002e4d8
          History

          Face recognition,Bayesian regression,Regression-based norming,Face perception,Development,Benton test

          Comments

          Comment on this article