1994
DOI: 10.1044/0161-1461.2501.15
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Selection of Preschool Language Tests

Abstract: Clinicians are confronted with a wide range of norm-referenced tests designed to evaluate preschool language skills. This article approaches test selection from a data-based perspective. Twenty-one tests of language skills that included norms for children ages 4 and 5 years were reviewed for information on 10 psychometric criteria. Only 38% of these tests met half or more of the 10 psychometric criteria employed by McCauley and Swisher (1984a) in their review. Four tests that met a relatively high number of ps… Show more

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Cited by 346 publications
(266 citation statements)
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“…36,37 In screening for DLDs, diagnostic accuracy values greater than 0.80 are considered desirable, values between 0.70 and 0.79 are considered suggestive, and values less than 0.7 are undesirable. [37][38][39] …”
Section: Classification Accuracy Of Individual Screening Measuresmentioning
confidence: 99%
“…36,37 In screening for DLDs, diagnostic accuracy values greater than 0.80 are considered desirable, values between 0.70 and 0.79 are considered suggestive, and values less than 0.7 are undesirable. [37][38][39] …”
Section: Classification Accuracy Of Individual Screening Measuresmentioning
confidence: 99%
“…Specificity is the correct classification of typically developing children as having normal language (NL). Sensitivity refers to the correct classification of children with LI as having LI (Dollaghan, 2004;Plante & Vance, 1994). Here we ask an independent question: whether sensitivity and specificity might also be affected by the inclusion of children with LI in norms.…”
Section: University Of Arizona Tucsonmentioning
confidence: 99%
“…As seen here, characteristics of the normative sample directly affect diagnostic accuracy. Plante and Vance (1994) suggest that tests with 80% specificity and sensitivity have " fair " classification accuracy and those with 90% or more have "good " classification accuracy. In this simulation, sensitivity changes from good to fair at a cut score of -1.14 by including individuals with LI in the normative sample.…”
Section: Classification Analysismentioning
confidence: 99%
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