Literature DB >> 26966346

Introduction to the Special Issue: Advancing the State-of-the-Science in Reading Research through Modeling.

Jason D Zevin1, Brett Miller2.   

Abstract

Reading research is increasingly a multi-disciplinary endeavor involving more complex, team-based science approaches. These approaches offer the potential of capturing the complexity of reading development, the emergence of individual differences in reading performance over time, how these differences relate to the development of reading difficulties and disability, and more fully understanding the nature of skilled reading in adults. This special issue focuses on the potential opportunities and insights that early and richly integrated advanced statistical and computational modeling approaches can provide to our foundational (and translational) understanding of reading. The issue explores how computational and statistical modeling, using both observed and simulated data, can serve as a contact point among research domains and topics, complement other data sources and critically provide analytic advantages over current approaches.

Entities:  

Keywords:  computational modeling; individual differences; reading development; reading disability; statistical modeling

Year:  2016        PMID: 26966346      PMCID: PMC4780422          DOI: 10.1080/10888438.2015.1118480

Source DB:  PubMed          Journal:  Sci Stud Read        ISSN: 1088-8438


  12 in total

Review 1.  DRC: a dual route cascaded model of visual word recognition and reading aloud.

Authors:  M Coltheart; K Rastle; C Perry; R Langdon; J Ziegler
Journal:  Psychol Rev       Date:  2001-01       Impact factor: 8.934

2.  Rapid "automatized" naming (R.A.N): dyslexia differentiated from other learning disabilities.

Authors:  M B Denckla; R G Rudel
Journal:  Neuropsychologia       Date:  1976       Impact factor: 3.139

3.  What can we learn from learning models about sensitivity to letter-order in visual word recognition?

Authors:  Itamar Lerner; Blair C Armstrong; Ram Frost
Journal:  J Mem Lang       Date:  2014-11-01       Impact factor: 3.059

4.  Examining agreement and longitudinal stability among traditional and RTI-based definitions of reading disability using the affected-status agreement statistic.

Authors:  Jessica S Brown Waesche; Christopher Schatschneider; Jon K Maner; Yusra Ahmed; Richard K Wagner
Journal:  J Learn Disabil       Date:  2011-01-20

5.  Phonology, reading acquisition, and dyslexia: insights from connectionist models.

Authors:  M W Harm; M S Seidenberg
Journal:  Psychol Rev       Date:  1999-07       Impact factor: 8.934

6.  Agreement among response to intervention criteria for identifying responder status.

Authors:  Amy E Barth; Karla K Stuebing; Jason L Anthony; Carolyn A Denton; Patricia G Mathes; Jack M Fletcher; David J Francis
Journal:  Learn Individ Differ       Date:  2008-09

7.  The Random Forests statistical technique: An examination of its value for the study of reading.

Authors:  Kazunaga Matsuki; Victor Kuperman; Julie A Van Dyke
Journal:  Sci Stud Read       Date:  2016-01-05

8.  Using Simulations to Investigate the Longitudinal Stability of Alternative Schemes for Classifying and Identifying Children with Reading Disabilities.

Authors:  Christopher Schatschneider; Richard K Wagner; Sara A Hart; Elizabeth L Tighe
Journal:  Sci Stud Read       Date:  2016-01-05

9.  Simulating Language-specific and Language-general Effects in a Statistical Learning Model of Chinese Reading.

Authors:  Jianfeng Yang; Bruce D McCandliss; Hua Shu; Jason D Zevin
Journal:  J Mem Lang       Date:  2009-08-02       Impact factor: 3.059

10.  CDP++.Italian: modelling sublexical and supralexical inconsistency in a shallow orthography.

Authors:  Conrad Perry; Johannes C Ziegler; Marco Zorzi
Journal:  PLoS One       Date:  2014-04-16       Impact factor: 3.240

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