Literature DB >> 26774104

Free versus anchored numerical estimation: A unified approach.

John E Opfer1, Clarissa A Thompson2, Dan Kim3.   

Abstract

Children's number-line estimation has produced a lively debate about representational change, supported by apparently incompatible data regarding descriptive adequacy of logarithmic (Opfer, Siegler, & Young, 2011) and cyclic power models (Slusser, Santiago, & Barth, 2013). To test whether methodological differences might explain discrepant findings, we created a fully crossed 2×2 design and assigned 96 children to one of four cells. In the design, we crossed anchoring (free, anchored) and sampling (over-, even-), which were candidate factors to explain discrepant findings. In three conditions (free/over-sampling, free/even-sampling, and anchored/over-sampling), the majority of children provided estimates better fit by the logarithmic than cyclic power function. In the last condition (anchored/even-sampling), the reverse was found. Results suggest that logarithmically-compressed numerical estimates do not depend on sampling, that the fit of cyclic power functions to children's estimates is likely an effect of anchors, and that a mixed log/linear model provides a useful model for both free and anchored numerical estimation.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cognitive development; Estimation; Learning; Numerical cognition

Mesh:

Year:  2016        PMID: 26774104     DOI: 10.1016/j.cognition.2015.11.015

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  10 in total

1.  The log-linear response function of the bounded number-line task is unrelated to the psychological representation of quantity.

Authors:  Dale J Cohen; Philip T Quinlan
Journal:  Psychon Bull Rev       Date:  2018-02

2.  A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation.

Authors:  Sang Ho Lee; Dan Kim; John E Opfer; Mark A Pitt; Jay I Myung
Journal:  Psychon Bull Rev       Date:  2021-12-16

3.  A Mathematical Model of How People Solve Most Variants of the Number-Line Task.

Authors:  Dale J Cohen; Daryn Blanc-Goldhammer; Philip T Quinlan
Journal:  Cogn Sci       Date:  2018-10-29

4.  Are Books Like Number Lines? Children Spontaneously Encode Spatial-Numeric Relationships in a Novel Spatial Estimation Task.

Authors:  Clarissa A Thompson; Bradley J Morris; Pooja G Sidney
Journal:  Front Psychol       Date:  2017-12-21

5.  Evaluating the Effect of Labeled Benchmarks on Children's Number Line Estimation Performance and Strategy Use.

Authors:  Dominique Peeters; Elke Sekeris; Lieven Verschaffel; Koen Luwel
Journal:  Front Psychol       Date:  2017-06-30

6.  Using analogy to learn about phenomena at scales outside human perception.

Authors:  Ilyse Resnick; Alexandra Davatzes; Nora S Newcombe; Thomas F Shipley
Journal:  Cogn Res Princ Implic       Date:  2017-03-20

7.  Number Representations Drive Number-Line Estimates.

Authors:  Lei Yuan; Richard Prather; Kelly S Mix; Linda B Smith
Journal:  Child Dev       Date:  2019-10-28

8.  Learning Linear Spatial-Numeric Associations Improves Accuracy of Memory for Numbers.

Authors:  Clarissa A Thompson; John E Opfer
Journal:  Front Psychol       Date:  2016-01-21

9.  The Use of Local and Global Ordering Strategies in Number Line Estimation in Early Childhood.

Authors:  Jaccoline E Van 't Noordende; M J M Volman; Paul P M Leseman; Korbinian Moeller; Tanja Dackermann; Evelyn H Kroesbergen
Journal:  Front Psychol       Date:  2018-09-18

10.  The Developing Mental Number Line: Does Its Directionality Relate to 5- to 7-Year-Old Children's Mathematical Abilities?

Authors:  Lauren S Aulet; Stella F Lourenco
Journal:  Front Psychol       Date:  2018-07-06
  10 in total

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