Literature DB >> 34282557

Contribution of a common ability in average and variability judgments.

Oakyoon Cha1,2, Randolph Blake3, Isabel Gauthier3.   

Abstract

People can make judgments about statistical properties of visual features within groups of objects, such as the average size, size variability, or numerosity of circles. Emerging from recent work is the view that these kinds of visual estimations, collectively dubbed ensemble perception, rely on independent abilities that are specific to the statistical property being estimated (mean, variance, range, numerosity). Here we revisit evidence for the claim that different statistical judgments (i.e., average and variability) for the same object feature are based on independent abilities. We tested a large sample of people, using a pre-registered open-ended sequential design to avoid ending up with weak evidence. We estimated the shared variance in ability across different ensemble judgments, with common constraints for the different tasks. We found that the abilities to judge the average size and the size variability for an array of circles are positively correlated, even after controlling for the ability to discriminate the size of single circles. Our results refute the idea that judgments of average and variability for the same object feature rely on completely independent abilities.
© 2021. The Psychonomic Society, Inc.

Entities:  

Keywords:  Average; Ensemble perception; Individual differences; Variability

Mesh:

Year:  2021        PMID: 34282557     DOI: 10.3758/s13423-021-01982-1

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  19 in total

1.  Latent variables in psychology and the social sciences.

Authors:  Kenneth A Bollen
Journal:  Annu Rev Psychol       Date:  2002       Impact factor: 24.137

2.  Representation of statistical properties.

Authors:  Sang Chul Chong; Anne Treisman
Journal:  Vision Res       Date:  2003-02       Impact factor: 1.886

Review 3.  Building the gist of a scene: the role of global image features in recognition.

Authors:  Aude Oliva; Antonio Torralba
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Authors:  Jason Haberman; David Whitney
Journal:  Curr Biol       Date:  2007-09-04       Impact factor: 10.834

Review 5.  The neuroscience of human intelligence differences.

Authors:  Ian J Deary; Lars Penke; Wendy Johnson
Journal:  Nat Rev Neurosci       Date:  2010-02-10       Impact factor: 34.870

6.  Independent and parallel visual processing of ensemble statistics: Evidence from dual tasks.

Authors:  Vladislav A Khvostov; Igor S Utochkin
Journal:  J Vis       Date:  2019-08-01       Impact factor: 2.240

7.  Summary statistics for size over space and time.

Authors:  Andrei Gorea; Seddik Belkoura; Joshua A Solomon
Journal:  J Vis       Date:  2014-08-25       Impact factor: 2.240

8.  Individual differences in visual science: What can be learned and what is good experimental practice?

Authors:  John D Mollon; Jenny M Bosten; David H Peterzell; Michael A Webster
Journal:  Vision Res       Date:  2017-11-16       Impact factor: 1.886

9.  A 'dipper' function for texture discrimination based on orientation variance.

Authors:  Michael Morgan; Charles Chubb; Joshua A Solomon
Journal:  J Vis       Date:  2008-08-22       Impact factor: 2.240

10.  Crud (Re)Defined.

Authors:  Amy Orben; Daniël Lakens
Journal:  Adv Methods Pract Psychol Sci       Date:  2020-06-11
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