PURPOSE: Some children with speech sound disorders (SSD) have difficulty with literacy-related skills, particularly phonological awareness (PA). This study investigates the PA skills of preschoolers with SSD by using a regression model to evaluate the degree to which PA can be concurrently predicted by types of speech sound errors. METHOD: Preschoolers with SSD (n = 43) participated in PA and speech sound production assessment. Errors from a 125-item picture naming task were coded in 2 ways: (a) considering all consonant errors equally (percentage of consonants correct [PCC]) and (b) using a 3-category system that captures component features of sound errors (typical sound changes, atypical sound changes, and distortions). PA tasks included rhyme matching, onset matching, onset segmentation and matching, and blending. RESULTS: Variance in a PA composite score could be predicted partly by vocabulary and age (33%). Atypical sound changes accounted for an additional 6% of variance in PA, but distortions and typical errors did not account for significant variance. When the same consonant errors were analyzed using PCC, speech errors did not predict significant variance in PA. CONCLUSIONS: Poorer PA is associated with lower receptive vocabularies and more atypical sound errors. Results are interpreted in the context of the accuracy of phonological representations.
PURPOSE: Some children with speech sound disorders (SSD) have difficulty with literacy-related skills, particularly phonological awareness (PA). This study investigates the PA skills of preschoolers with SSD by using a regression model to evaluate the degree to which PA can be concurrently predicted by types of speech sound errors. METHOD: Preschoolers with SSD (n = 43) participated in PA and speech sound production assessment. Errors from a 125-item picture naming task were coded in 2 ways: (a) considering all consonant errors equally (percentage of consonants correct [PCC]) and (b) using a 3-category system that captures component features of sound errors (typical sound changes, atypical sound changes, and distortions). PA tasks included rhyme matching, onset matching, onset segmentation and matching, and blending. RESULTS: Variance in a PA composite score could be predicted partly by vocabulary and age (33%). Atypical sound changes accounted for an additional 6% of variance in PA, but distortions and typical errors did not account for significant variance. When the same consonant errors were analyzed using PCC, speech errors did not predict significant variance in PA. CONCLUSIONS: Poorer PA is associated with lower receptive vocabularies and more atypical sound errors. Results are interpreted in the context of the accuracy of phonological representations.
Authors: Lawrence D Shriberg; Barbara A Lewis; J Bruce Tomblin; Jane L McSweeny; Heather B Karlsson; Alison R Scheer Journal: J Speech Lang Hear Res Date: 2005-08 Impact factor: 2.297
Authors: Allan B Smith; Jenny Roberts; Susan Lambrecht Smith; John L Locke; Jane Bennett Journal: Am J Speech Lang Pathol Date: 2006-08 Impact factor: 2.408
Authors: Barbara A Lewis; Lawrence D Shriberg; Lisa A Freebairn; Amy J Hansen; Catherine M Stein; H Gerry Taylor; Sudha K Iyengar Journal: J Speech Lang Hear Res Date: 2006-12 Impact factor: 2.297
Authors: Barbara A Lewis; Allison A Avrich; Lisa A Freebairn; Amy J Hansen; Lara E Sucheston; Iris Kuo; H Gerry Taylor; Sudha K Iyengar; Catherine M Stein Journal: J Speech Lang Hear Res Date: 2011-09-19 Impact factor: 2.297
Authors: Rachel L Wellman; Barbara A Lewis; Lisa A Freebairn; Allison A Avrich; Amy J Hansen; Catherine M Stein Journal: Lang Speech Hear Serv Sch Date: 2011-10 Impact factor: 2.983
Authors: Mark R van den Bunt; Margriet A Groen; Takayuki Ito; Ana A Francisco; Vincent L Gracco; Ken R Pugh; Ludo Verhoeven Journal: J Speech Lang Hear Res Date: 2017-03-01 Impact factor: 2.297