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Authors
Santi, Kristi L.; Francis, David J.; Currie, Debra; Wang, Qianqian

Visual-Motor Integration Skills Accuracy of Predicting Reading

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Abstract/Introduction

Purpose 

This article investigated the contribution of visual-motor integration (VMI) to reading ability when known predictors of later reading outcomes were also present in the data analysis.

 

Methods 

Participants included 778 first and second grade students from a large diverse urban district in Texas. The data were analyzed using multiple regression models with a forced entry of predictors for each regression model, and each model was run separately for each outcome.


Conclusion/Results

Results 

The results indicate that VMI drops out of the prediction models once more reading- and language-specific skills are introduced.

 

Conclusions 

Although VMI skills make a statistically significant contribution in some aspects of the regression model, the reduction in contribution reduces the predictive validity of VMI skills. Therefore, a VMI skill measure will not sufficiently determine if a child has a reading disability.


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