Pediatric physical therapy : the official publication of the Section on Pediatrics of the American Physical Therapy Association · 2008
Validity of the TIMPSI for estimating concurrent performance on the test of infant motor performance.
СтатьяПоддержка NIH: внешняя программаВалидационное исследованиеНазвание и аннотация: Перевод в очереди
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Campbell Suzann K, Swanlund Andrew, Smith Everett, Liao Pai-Jun, Zawacki Laura
Аннотация
PURPOSE: The TIMPSI, a short version of the Test of Infant Motor Performance (TIMP), is used for screening. The project was designed to compare concurrent TIMPSI scores with those on the TIMP and recommend cutscores for clinical decision making.
METHODS: Infants (n = 990) were recruited reflecting the race/ethnicity of US infants with low birth weight. From 67 to 97 infants were tested in 2-week age groups ranging from 34 to 35 weeks postmenstrual age through 16 to 17 weeks post-term. Rasch analysis of raw scores was used. TIMPSI cutscores ranging from the mean to -1.00 standard deviation (SD) were compared with performance above/below -0.5 SD on the TIMP to assess accuracy of classification.
RESULTS: The TIMPSI was a valid screening instrument when compared with concurrent performance on the TIMP.
CONCLUSION: A cutscore of -0.25 SD appears useful in predicting the best combination of false negatives (5.8%) and false positives (12.5%) with overall accuracy of classification of 81.7%.
METHODS: Infants (n = 990) were recruited reflecting the race/ethnicity of US infants with low birth weight. From 67 to 97 infants were tested in 2-week age groups ranging from 34 to 35 weeks postmenstrual age through 16 to 17 weeks post-term. Rasch analysis of raw scores was used. TIMPSI cutscores ranging from the mean to -1.00 standard deviation (SD) were compared with performance above/below -0.5 SD on the TIMP to assess accuracy of classification.
RESULTS: The TIMPSI was a valid screening instrument when compared with concurrent performance on the TIMP.
CONCLUSION: A cutscore of -0.25 SD appears useful in predicting the best combination of false negatives (5.8%) and false positives (12.5%) with overall accuracy of classification of 81.7%.