Document Type
Article
Source Publication Title
Perceptual and Motor Skills
First Page
530
Last Page
549
DOI
http://doi.org/10.2466/27.10.PMS.119c21z0
Abstract
The purpose was to use a multi-level statistical technique to analyze how children's age, motor proficiency, and cognitive styles interact to affect accuracy on reach estimation tasks via Motor Imagery and Visual Imagery. Results from the Generalized Linear Mixed Model analysis (GLMM) indicated that only the 7-year-old age group had significant random intercepts for both tasks. Motor proficiency predicted accuracy in reach tasks, and cognitive styles (object scale) predicted accuracy in the motor imagery task. GLMM analysis is suitable to explore age and other parameters of development. In this case, it allowed an assessment of motor proficiency interacting with age to shape how children represent, plan, and act on the environment.
Disciplines
Kinesiology | Life Sciences
Publication Date
1-1-2014
Language
English
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Cacola, Priscila M. and Pant, Mohan, "Using a Generalized Linear Mixed Model Approach to Explore the Role of Age, Motor Proficiency, and Cognitive Styles in Children's Reach Estimation Accuracy" (2014). Kinesiology Faculty Publications & Presentations. 8.
https://mavmatrix.uta.edu/kinesiology_facpubs/8