Literature DB >> 30343894

Reproducibility and a unifying explanation: Lessons from the shape bias.

Sarah C Kucker1, Larissa K Samuelson2, Lynn K Perry3, Hanako Yoshida4, Eliana Colunga5, Megan G Lorenz6, Linda B Smith7.   

Abstract

The goal of science is to advance our understanding of particular phenomena. However, in the field of development, the phenomena of interest are complex, multifaceted, and change over time. Here, we use three decades of research on the shape bias to argue that while replication is clearly an important part of the scientific process, integration across the findings of many studies that include variations in procedure is also critical to create a coherent understanding of the thoughts and behaviors of young children. The "shape bias," or the tendency to generalize a novel label to novel objects of the same shape, is a reliable and robust behavioral finding and has been shown to predict future vocabulary growth and possible language disorders. Despite the robustness of the phenomenon, the way in which the shape bias is defined and tested has varied across studies and laboratories. The current review argues that differences in performance that come from even seemingly minor changes to the participants or task can offer critical insight to underlying mechanisms, and that working to incorporate data from multiple labs is an important way to reveal how task variation and a child's individual pathway creates behavior-a key issue for understanding developmental phenomena.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Individual differences; Reproducibility; Shape bias; Task effects; Word learning

Mesh:

Year:  2018        PMID: 30343894      PMCID: PMC6393169          DOI: 10.1016/j.infbeh.2018.09.011

Source DB:  PubMed          Journal:  Infant Behav Dev        ISSN: 0163-6383


  70 in total

1.  Conceiving of entities as objects and as stuff.

Authors:  Sandeep Prasada; Krag Ferenz; Todd Haskell
Journal:  Cognition       Date:  2002-03

2.  Development of distinct control networks through segregation and integration.

Authors:  Damien A Fair; Nico U F Dosenbach; Jessica A Church; Alexander L Cohen; Shefali Brahmbhatt; Francis M Miezin; Deanna M Barch; Marcus E Raichle; Steven E Petersen; Bradley L Schlaggar
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-06       Impact factor: 11.205

3.  Changes in frontal and posterior cortical activity underlie the early emergence of executive function.

Authors:  Aaron T Buss; John P Spencer
Journal:  Dev Sci       Date:  2017-09-15

Review 4.  Eye movements as a window into real-time spoken language comprehension in natural contexts.

Authors:  K M Eberhard; M J Spivey-Knowlton; J C Sedivy; M K Tanenhaus
Journal:  J Psycholinguist Res       Date:  1995-11

5.  Words as windows to thought: The case of object representation.

Authors:  David Barner; Peggy Li; Jesse Snedeker
Journal:  Curr Dir Psychol Sci       Date:  2010-06

Review 6.  Motor development and the mind: the potential role of motor abilities as a determinant of aspects of perceptual development.

Authors:  E W Bushnell; J P Boudreau
Journal:  Child Dev       Date:  1993-08

7.  Predictable locations aid early object name learning.

Authors:  Viridiana L Benitez; Linda B Smith
Journal:  Cognition       Date:  2012-09-16

8.  The shape of the vocabulary predicts the shape of the bias.

Authors:  Lynn K Perry; Larissa K Samuelson
Journal:  Front Psychol       Date:  2011-11-22

9.  Investigating the shape bias in typically developing children and children with autism spectrum disorders.

Authors:  Emily R Potrzeba; Deborah Fein; Letitia Naigles
Journal:  Front Psychol       Date:  2015-04-21

10.  Goodnight book: sleep consolidation improves word learning via storybooks.

Authors:  Sophie E Williams; Jessica S Horst
Journal:  Front Psychol       Date:  2014-03-04
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  3 in total

1.  A Transformer-Based Capsule Network for 3D Part-Whole Relationship Learning.

Authors:  Yu Chen; Jieyu Zhao; Qilu Qiu
Journal:  Entropy (Basel)       Date:  2022-05-11       Impact factor: 2.738

2.  High-Level Visual Encoding Model Framework with Hierarchical Ventral Stream-Optimized Neural Networks.

Authors:  Wulue Xiao; Jingwei Li; Chi Zhang; Linyuan Wang; Panpan Chen; Ziya Yu; Li Tong; Bin Yan
Journal:  Brain Sci       Date:  2022-08-19

3.  Beyond the Shape of Things: Infants Can Be Taught to Generalize Nouns by Objects' Functions.

Authors:  Cecilia Zuniga-Montanez; Sotaro Kita; Suzanne Aussems; Andrea Krott
Journal:  Psychol Sci       Date:  2021-06-10
  3 in total

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