Response Latency and Verbal Complexity: Stochastic Models of Individual Differences in Children With Specific Language Impairments

Within-subject statistical modeling techniques were employed to investigate individual differences in the extent to which two possible indicators of processing time predicted changes in utterance complexity during spontaneous discourse for 10 children ages 7;1 to 10;1 with specific language impairme...

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Published inJournal of speech, language, and hearing research Vol. 40; no. 4; pp. 754 - 764
Main Authors Evans, Julia L, Viele, Kert, Kass, Robert E
Format Journal Article
LanguageEnglish
Published United States ASHA 01.08.1997
American Speech-Language-Hearing Association
Subjects
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ISSN1092-4388
1558-9102
DOI10.1044/jslhr.4004.754

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Abstract Within-subject statistical modeling techniques were employed to investigate individual differences in the extent to which two possible indicators of processing time predicted changes in utterance complexity during spontaneous discourse for 10 children ages 7;1 to 10;1 with specific language impairments (SLI) who differed in receptive language abilities. The two indicators of processing time that were modeled were response latency and the use of a specific discourse marker (Verbal Pause) that provided children with additional time to respond. Longer response latencies were not a strong predictor of increased utterance length for any of the children. However, results indicated that children with better receptive skills used substantially more verbal pauses than children with both expressive and receptive deficits and that the use of these pauses was a strong predictor of increased utterance length for children with better comprehension skills.
AbstractList Within-subject statistical modeling techniques were employed to investigate individual differences in the extent to which two possible indicators of processing time predicted changes in utterance complexity during spontaneous discourse for 10 children ages 7;1 to 10;1 with specific language impairments (SLI) who differed in receptive language abilities. The two indicators of processing time that were modeled were response latency and the use of a specific discourse marker (Verbal Pause) that provided children with additional time to respond. Longer response latencies were not a strong predictor of increased utterance length for any of the children. However, results indicated that children with better receptive skills used substantially more verbal pauses than children with both expressive and receptive deficits and that the use of these pauses was a strong predictor of increased utterance length for children with better comprehension skills.
A maximum likelihood estimation method was used to study individual differences in two speech timing variables (response latency & verbal pause) that may indicate processing time. Focus here was on the relationship between these variables & utterance complexity in subjects ([Ss] N = 10, aged 7:1-10:1) with specific language impairment (SLI) who differed in their receptive language abilities. Each S's mean length of utterance (MLU) was derived from a 15-minute spontaneous speech sample. Utterances were classified as across-turn or turn-internal; only the former were analyzed for response latency & verbal pause. A strong positive correlation was not found between MLU & response latency for any S. A significant association was found between an increased number of verbal pauses & better syntactic comprehension, auditory memory, & receptive vocabulary. 4 Tables, 1 Figure, 1 Appendix, 33 References. Adapted from the source document
Within-subject statistical modeling techniques were employed to investigate individual differences in the extent to which two possible indicators of processing time predicted changes in utterance complexity during spontaneous discourse for 10 children ages 7;1 to 10;1 with specific language impairments (SLI) who differed in receptive language abilities. The two indicators of processing time that were modeled were response latency and the use of a specific discourse marker (Verbal Pause) that provided children with additional time to respond. Longer response latencies were not a strong predictor of increased utterance length for any of the children. However, results indicated that children with better receptive skills used substantially more verbal pauses than children with both expressive and receptive deficits and that the use of these pauses was a strong predictor of increased utterance length for children with better comprehension skills.Within-subject statistical modeling techniques were employed to investigate individual differences in the extent to which two possible indicators of processing time predicted changes in utterance complexity during spontaneous discourse for 10 children ages 7;1 to 10;1 with specific language impairments (SLI) who differed in receptive language abilities. The two indicators of processing time that were modeled were response latency and the use of a specific discourse marker (Verbal Pause) that provided children with additional time to respond. Longer response latencies were not a strong predictor of increased utterance length for any of the children. However, results indicated that children with better receptive skills used substantially more verbal pauses than children with both expressive and receptive deficits and that the use of these pauses was a strong predictor of increased utterance length for children with better comprehension skills.
Within subject statistical modelling techniques were employed to investigate individual differences in the extent to which two possible indicators of processing time predicted changes in utterance complexity during spontaneous discourse for 10 children ages 7;1 to 10;1 with SLI who differed in receptive language abilities. The 2 indicators of processing time were response latency and the use of a specific discourse marker (Verbal Pause) that provided children with additional time to respond. Results indicated that children with better receptive skills used substantially more verbal pauses; the use of these pauses was a strong predictor of increased utterance length for children with better comprehension skills. (Original abstract-amended)
Author Viele, Kert
Evans, Julia L
Kass, Robert E
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  start-page: 193
  year: 1963
  ident: e_1_3_2_12_1
  article-title: Bayesian statistical inference for psychological research
  publication-title: Psychological Review
  doi: 10.1037/h0044139
– volume: 39
  start-page: 177
  year: 1996
  ident: e_1_3_2_14_1
  article-title: Lexical learning by children with specific language impairments: Effects of linguistic input presented at varying speaking rates
  publication-title: Journal of Speech and Hearing Research
  doi: 10.1044/jshr.3901.177
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Snippet Within-subject statistical modeling techniques were employed to investigate individual differences in the extent to which two possible indicators of processing...
Within subject statistical modelling techniques were employed to investigate individual differences in the extent to which two possible indicators of...
A maximum likelihood estimation method was used to study individual differences in two speech timing variables (response latency & verbal pause) that may...
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StartPage 754
SubjectTerms Accuracy
Adult
Adults
Child
Children
Children & youth
Complexity
Comprehension
Feedback (Response)
Humans
Individual Differences
Language
Language Aptitude
Language Disorders - diagnosis
Language Impairments
Language Pathology
Language Processing
Language Tests
Linguistic Theory
Male
Maximum Likelihood Statistics
Mean Length of Utterance
Pauses
Reaction Time
Receptive Language
Response latency
Short Term Memory
Specific language impairment
Speech disorders
Statistical Analysis
Stochastic models
Stochastic Processes
Time
Time Factors
Utterances
Young children
Title Response Latency and Verbal Complexity: Stochastic Models of Individual Differences in Children With Specific Language Impairments
URI http://jslhr.asha.org/cgi/content/abstract/40/4/754
https://www.ncbi.nlm.nih.gov/pubmed/9263941
https://www.proquest.com/docview/232324930
https://www.proquest.com/docview/57834337
https://www.proquest.com/docview/58310257
https://www.proquest.com/docview/79228658
Volume 40
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