Predicting language outcome in infants with autism and pervasive ...
Predicting language outcome in infants with autism and pervasive ...
Predicting language outcome in infants with autism and pervasive ...
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<strong>Predict<strong>in</strong>g</strong> <strong>language</strong> <strong>outcome</strong> <strong>in</strong> <strong>in</strong>fants <strong>with</strong> <strong>autism</strong> 273Longitud<strong>in</strong>al associations between diagnosis <strong>and</strong> performance on the experimentalmeasures at 20 months <strong>and</strong> <strong>language</strong> <strong>outcome</strong> at 42 monthsTable 2 shows the <strong>language</strong> <strong>outcome</strong> at age 42 months <strong>in</strong> terms of raw RL <strong>and</strong> ELReynell-DLS scores for the sample divided by diagnosis (<strong>autism</strong> versus PDD) <strong>and</strong>low versus high NVIQ <strong>and</strong> low versus high performance on the experimentalmeasures at age 20 months. Non-parametric Mann–Whitney U-tests were conducted,correct<strong>in</strong>g for tied ranks. Both RL <strong>and</strong> EL were significantly higher at 42 monthsfor the children <strong>with</strong> PDD compared <strong>with</strong> the children <strong>with</strong> <strong>autism</strong> ( p
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