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Related Experiment Videos

Concurrent validity of two language screening tests.

D V Allen, L S Bliss

    Journal of Communication Disorders
    |August 1, 1987
    PubMed
    Summary
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    This study highlights the critical need for validating clinical instruments. Language screening tests show varying validity, impacting diagnostic accuracy for preschool children.

    Area of Science:

    • Clinical Psychology
    • Developmental Psychology
    • Speech-Language Pathology

    Background:

    • Ensuring the accuracy of clinical instruments is crucial for making sound decisions about individuals.
    • There is a continuous need for validation studies to confirm instrument reliability and applicability.
    • Validation must consider specific applications, settings, and populations.

    Purpose of the Study:

    • To examine the concurrent validity of two preschool language screening instruments.
    • To compare the diagnostic accuracy of the Fluharty Preschool Screening Test and the Northwestern Syntax Screening Test.
    • To illustrate the interpretation of validation study outcomes.

    Main Methods:

    • Concurrent validity was assessed for the Fluharty Preschool Screening Test and the Northwestern Syntax Screening Test.

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  • Subtests of both screening instruments were analyzed.
  • A criterion measure, the Sequenced Inventory of Communication Development, was used to classify children as passing or failing.
  • The study included 182 white, middle-class children aged 36-47 months.

    • Main Results:

    • The two language screening tests demonstrated differing levels of validity.
    • Validity varied based on the specific content of the test and its subtests.
    • The findings underscore the importance of selecting appropriate screening tools.

    Conclusions:

    • The choice of language screening instrument has significant consequences for diagnostic decisions.
    • Validation studies are essential for understanding the performance of clinical instruments in specific contexts.
    • Interpreting validation outcomes requires careful consideration of test content and population characteristics.