Using a Generalized Linear Mixed Model Approach to Explore the Role of Age, Motor Proficiency, and Cognitive Styles in Children's Reach Estimation Accuracy
| Autor: | Mohan D. Pant, Priscila Caçola |
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| Rok vydání: | 2014 |
| Předmět: |
Male
Adolescent Culture Spatial Behavior Psychology Child Experimental and Cognitive Psychology Affect (psychology) Generalized linear mixed model Cognition Motor imagery Surveys and Questionnaires Psychophysics Humans Child Motor skill Communication business.industry Distance Perception Age Factors Linear model Sensory Systems Motor Skills Imagination Linear Models Female business Psychology Psychomotor Performance Cognitive psychology Mental image Cognitive style |
| Zdroj: | Perceptual and Motor Skills. 119:530-549 |
| ISSN: | 1558-688X 0031-5125 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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