Literature DB >> 33269441

Do group ensemble statistics bias visual working memory for individual items? A registered replication of Brady and Alvarez (2011).

Frank Papenmeier1, J David Timm2.   

Abstract

We performed a registered and precise replication of Experiment 1 reported in Brady and Alvarez (Psychological Science, 22, 384-392, 2011). The original experiment found that participants, who were asked to memorize the size of differently colored circles, reported the size of a probed circle biased toward the mean size of the same-colored group. Because our previous three unpublished replication attempts failed to find this effect, we powered the present registered replication using a Bayes Factor Design Analysis such that it provided compelling evidence regarding the presence or absence of the reported bias with a high probability, even under the assumption of smaller effect sizes. Thus, we recruited 663 participants through Amazon Mechanical Turk. We observed both a significant bias and strong Bayesian evidence in favor of the existence of a bias over the null hypothesis. Thus, our results can be considered a successful replication of the original findings, although with a considerably smaller effect size. We discuss the role of data quality when recruiting participants with Amazon Mechanical Turk. The present findings corroborate the idea that memory representations of individual objects are influenced by summary statistics.

Entities:  

Keywords:  Amazon Mechanical Turk; Bayes Factor Design Analysis; Ensemble perception; Registered replication; Summary statistics

Mesh:

Year:  2020        PMID: 33269441     DOI: 10.3758/s13414-020-02209-6

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  10 in total

1.  Sensory processing patterns predict the integration of information held in visual working memory.

Authors:  Matthew X Lowe; Ryan A Stevenson; Kristin E Wilson; Natasha E Ouslis; Morgan D Barense; Jonathan S Cant; Susanne Ferber
Journal:  J Exp Psychol Hum Percept Perform       Date:  2015-09-21       Impact factor: 3.332

2.  Chunking as a rational strategy for lossy data compression in visual working memory.

Authors:  Matthew R Nassar; Julie C Helmers; Michael J Frank
Journal:  Psychol Rev       Date:  2018-07       Impact factor: 8.934

3.  Discrete fixed-resolution representations in visual working memory.

Authors:  Weiwei Zhang; Steven J Luck
Journal:  Nature       Date:  2008-04-02       Impact factor: 49.962

4.  A probabilistic clustering theory of the organization of visual short-term memory.

Authors:  A Emin Orhan; Robert A Jacobs
Journal:  Psychol Rev       Date:  2013-01-28       Impact factor: 8.934

5.  A probabilistic model of visual working memory: Incorporating higher order regularities into working memory capacity estimates.

Authors:  Timothy F Brady; Joshua B Tenenbaum
Journal:  Psychol Rev       Date:  2012-12-10       Impact factor: 8.934

6.  Similarity-based distortion of visual short-term memory is due to perceptual averaging.

Authors:  Chad Dubé; Feng Zhou; Michael J Kahana; Robert Sekuler
Journal:  Vision Res       Date:  2014-01-04       Impact factor: 1.886

7.  The average facial expression of a crowd influences impressions of individual expressions.

Authors:  Sarah Griffiths; Gillian Rhodes; Linda Jeffery; Romina Palermo; Markus F Neumann
Journal:  J Exp Psychol Hum Percept Perform       Date:  2017-05-29       Impact factor: 3.332

8.  Individual representations in visual working memory inherit ensemble properties.

Authors:  Igor S Utochkin; Timothy F Brady
Journal:  J Exp Psychol Hum Percept Perform       Date:  2020-03-19       Impact factor: 3.332

9.  The precision of visual working memory is set by allocation of a shared resource.

Authors:  Paul M Bays; Raquel F G Catalao; Masud Husain
Journal:  J Vis       Date:  2009-09-09       Impact factor: 2.240

10.  PsychoPy2: Experiments in behavior made easy.

Authors:  Jonathan Peirce; Jeremy R Gray; Sol Simpson; Michael MacAskill; Richard Höchenberger; Hiroyuki Sogo; Erik Kastman; Jonas Kristoffer Lindeløv
Journal:  Behav Res Methods       Date:  2019-02
  10 in total
  1 in total

1.  The role of ensemble average differs in working memory for depth and planar information.

Authors:  Ke Zhang; Jiehui Qian
Journal:  J Vis       Date:  2022-05-03       Impact factor: 2.004

  1 in total

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