4.2 Article

Factor analysis of signs of childhood apraxia of speech

Journal

JOURNAL OF COMMUNICATION DISORDERS
Volume 87, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jcomdis.2020.106033

Keywords

Childhood apraxia of speech; Autism spectrum disorder; Minimally verbal

Funding

  1. Nancy Lurie Marks Family Foundation
  2. Autism Speaks
  3. American Speech-Language-Hearing Foundation
  4. NHMRC [1105008]
  5. NHMRC Centre of Research Excellence in Speech and Language Neurobiology [1116976]
  6. NHMRC Project grant [1127144]
  7. [P50 DC 13027]
  8. [P50 DC 18006]
  9. [T32 DC 013017]
  10. [K24 DC 016312]
  11. [K99 DC 017490]
  12. National Health and Medical Research Council of Australia [1127144] Funding Source: NHMRC

Ask authors/readers for more resources

Purpose: To investigate the latent factors underlying signs of childhood apraxia of speech (CAS) in a group of 57 children with CAS. Method: The speech of 57 children with CAS (aged 3;5-17;0) was coded for signs of CAS. All participants showed at least five signs of CAS and were judged to have CAS by speech pathologists experienced in pediatric speech disorders. Participants were selected to represent a range of severity of CAS: 30 children were verbal and 27 were minimally verbal with comorbid autism. Participants' scores for each sign (the number of times that sign appeared during a child's speech sample) were converted to z-scores, then entered as variables into an exploratory factor analysis. Models were compared using the Akaike Information Criterion (AIC). Results: The three-factor model had the lowest AIC and best fit the data. After oblique rotation, syllable segmentation, slow rate, and stress errors loaded most highly on Factor 1. Groping, addition of phonemes other than schwa, and difficulty with coarticulation loaded most highly on Factor 2. Variable errors loaded most highly on Factor 3. Thus, factors were interpreted as being associated with (1) prosody, (2) coarticulation, and (3) inconsistency. Conclusions: Results are consistent with the three consensus criteria for CAS from the American Speech-Language-Hearing Association: Inappropriate prosody, disrupted coarticulatory transitions, and inconsistent errors on repeated tokens. High loading of the syllable segmentation sign on the inappropriate prosody factor also supports the use of a pause-related biomarker for CAS.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available