Title of presentation Phonologically balanced nonwords: Enhancing the tools for investigating the phonological aspects of SLI Authors’ names and affiliations Catherine E Dickie, University of Edinburgh Mitsuhiko Ota, University of Edinburgh Ann Clark, Queen Margaret University Name, address, telephone number and email address of contact person Catherine Dickie
[email protected] Preferred presentation format (oral presentation or poster): Oral
Phonologically balanced nonwords: Enhancing the tools for investigating the phonological aspects of SLI
Recent work on the genetics of SLI has demonstrated that there is a linkage between nonword repetition performance and a locus on chromosome 16 (SLI1) (SLIC, 2002; SLIC, 2004; Monaco & SLIC, 2007). Although the nonword repetition paradigm offers great promise for the investigation of phonological skills, the analysis of response patterns from the CNRep/NWR tasks which have proved so useful in genetic studies has been hampered by their lack of control over phonological variables. Factors such as the uneven distribution of consonants and clusters, inclusion of inflectional and derivational morphemes, uncontrolled distribution of stress patterns, etc, mean that there are difficulties with analysing responses from phonotactic, morpho-phonological, and prosodic perspectives (see, e.g., Snowling, et al., 1991; van der Lely & Howard, 1993; Dollaghan et al., 1995; Sahlen, et al., 1999; Dickie et al., 2008). In the present study we construct a revised set of nonwords which remains similar to the NWR Test in terms of size and scope, but which builds on the strengths of more recent nonword repetition tasks (e.g., Dollaghan & Campbell, 1998; Marshall & van der Lely, 2009) in order to shore up its main weaknesses so that the details of participants’ repetition responses to be analysed more straightforwardly. The set of nonwords presented here consists of 32 items, controlled for syllable length (equal numbers of 2, 3, 4, and 5 syllables), stress pattern (two equally frequently realised stress patterns for each of the syllable lengths), lexicality (all constituent syllables are drawn from a pre-established inventory of CV and CCV nonsense syllables), cluster location, biphone co-occurrence probability, and consonant type (‘difficult’ consonants are excluded from the inventory). The results of piloting this test on 7 year old children with and without language disorder will also be reported.
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