
pmid: 2232772
This study evaluated whether variations in the structure of minimal versus maximal opposition treatments would result in empirical differences in phonological learning. Subjects were 3 children who excluded at least six sounds from their pretreatment phonetic and phonemic inventories. An alternating treatments design in combination with a staggered multiple baseline across subjects was used to evaluate differences in learning the two types of oppositions. Results indicated that treatment of maximal oppositions led to greater improvement in the children’s production of treated sounds, more additions of untreated sounds to the posttreatment inventory, and fewer changes in known sounds than treatment of minimal oppositions. Moreover, individual differences suggested that phonological learning was enhanced not only by the number but also by the type of distinctions being taught. A potential sequence of relative clinical effectiveness was proposed such that teaching multiple and major class distinctions > teaching multiple distinctions > teaching few distinctions among sounds.
Male, Phonetics, Child, Preschool, Humans, Articulation Disorders, Speech Therapy
Male, Phonetics, Child, Preschool, Humans, Articulation Disorders, Speech Therapy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 70 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
