Department of Education

Research projects

Automated Test of Language Abilities (ATLAS) – standardization and validation

We have developed a short, but reliable, oral language assessment for children (The Automated Test of Language Abilities – ATLAS), which comprises 4 sub-tests (expressive vocabulary, receptive vocabulary, sentence repetition and listening comprehension). The test has been developed as an App, running on a tablet, designed to be administered by teachers or teaching assistants. The App can be administered in under 10 minutes and scoring is automated via a secure website.

In this project we will collect data from a nationally representative sample of 1,000 children aged 3 to 7 years (250 children in each of 4 year groups from Nursery to Year 2) to derive age norms for the test.  We will validate the App scores in a random sub-sample against well-standardized tests of language function (recalling sentences and expressive vocabulary subtests from CELF Preschool-2: Wiig, Secord, & Semel, 2004).

We will also collect data on an App based nonword repetition test based on The Grammar and Phonology Screening test (GAPS: Van der Lely, Gardner, McClelland, & Froud, 2007).

External Team members:

Maggie Snowling (Co-Investigator)
Denise Cripps (Co-Investigator)


Research Team

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