Document Detail

Visual-Motor Integration Skills: Accuracy of Predicting Reading.
MedLine Citation:
PMID:  25479446     Owner:  NLM     Status:  Publisher    
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.
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.
Kristi L Santi; David J Francis; Debra Currie; Qianqian Wang
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-12-4
Journal Detail:
Title:  Optometry and vision science : official publication of the American Academy of Optometry     Volume:  -     ISSN:  1538-9235     ISO Abbreviation:  Optom Vis Sci     Publication Date:  2014 Dec 
Date Detail:
Created Date:  2014-12-5     Completed Date:  -     Revised Date:  2014-12-6    
Medline Journal Info:
Nlm Unique ID:  8904931     Medline TA:  Optom Vis Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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