A Growth Mixture Modeling Study of Learning Trajectories in an Extended Computerized Working Memory Training Programme Developed for Young Children Diagnosed With Attention-Deficit/Hyperactivity Disorder

A Growth Mixture Modeling Study of Learning Trajectories in an Extended Computerized Working Memory Training Programme Developed for Young Children Diagnosed With Attention-Deficit/Hyperactivity Disorder

This study explored (1) whether growth mixture modeling (GMM) could identify different trajectories of learning efficiency during a working memory (WM) training programme for young children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD), compared with a typically developing (TD) cont...

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Bibliographic Details
Main Authors: Anna Orylska, Julie A. Hadwin, Aleksandra Kroemeke, Edmund Sonuga-Barke
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Education
Subjects:
WM training
learning trajectories
young children
attention-deficit/hyperactivity disorder (ADHD)
growth mixture modeling (GMM)
Online Access:https://www.frontiersin.org/article/10.3389/feduc.2019.00012/full

Internet

https://www.frontiersin.org/article/10.3389/feduc.2019.00012/full

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