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mental dissertation FINAL VERSION 6.pdf (7.73 MB)
ETD Abstract Container
Abstract Header
Using Realistic Visual Biofeedback for the Treatment of Residual Speech Sound Errors
Author Info
Mental, Rebecca Lyn, Mental
ORCID® Identifier
http://orcid.org/0000-0003-4130-7474
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=case152303105596537
Abstract Details
Year and Degree
2018, Doctor of Philosophy, Case Western Reserve University, Communication Sciences.
Abstract
Purpose: Although most children with speech sound disorders are able to remediate their errors, some individuals have errors that persist into late childhood and even adulthood. These individuals are considered to have residual speech sound errors (RSSEs), and they are at risk for social, academic, and employment difficulties. Most individuals with RSSEs have participated in years of traditional speech therapy with little success. Visual biofeedback provides an alternative method of treatment that may be what finally allows these individuals to remediate their errors. This study utilized Opti-Speech, a visual biofeedback software that uses electromagnetic articulography to create a threedimensional rendering of the tongue that moves in real time with the participant’s own tongue, for the remediation of RSSEs. Method: This single subject multiple baseline design included 18 participants (11 males and 7 females) who ranged from 8 -22 years of age. Speech sounds addressed in treatment included "r", "s", "sh", "ch", and "l". Participants attended an average of three baseline sessions and ten treatment sessions that utilized Opti-Speech visual biofeedback, and returned for a two-month follow-up. Results: Perceptual measures were based on generalization to untreated words. Eleven of the 18 participants were able to make clinically significant improvements for their target sound by their final treatment session, and 11 of 16 participants who returned for follow19 up measures had made clinically significant improvement on their target sound. When final session perceptual ratings were compared to follow-up, eight of the nine participants who presented with clinically significant improvement for their target sound were able to maintain their progress or presented with significantly improved speech sound skills. However, generalization was not seen at the sentence level. When considered as a group, clinically significant improvements were seen overall. Conclusion: This study demonstrated that Opti-Speech is a viable form of visual biofeedback for the treatment of RSSEs, as demonstrated by clinically significant improvements in over half of the participants who had not found success in previous traditional speech therapy. Future studies should continue to consider features of the best candidates for treatment with Opti-Speech, and it should be directly compared to other visual biofeedback modalities.
Committee
Jennell Vick, Ph.D. (Committee Chair)
Barbara Lewis, Ph.D. (Committee Member)
Elizabeth Short, Ph.D. (Committee Member)
Gregory Lee, Ph.D. (Committee Member)
Parrill Fey, Ph.D. (Committee Member)
Pages
201 p.
Subject Headings
Speech Therapy
Keywords
biofeedback
;
speech sound disorders
;
articulation, speech language pathology
;
visual feedback
;
single subject design
;
residual speech sound errors
;
persistent speech sound disorder
;
speech therapy
;
rhotics
;
principles of motor learning
Recommended Citations
Refworks
EndNote
RIS
Mendeley
Citations
Mental, Mental, R. L. (2018).
Using Realistic Visual Biofeedback for the Treatment of Residual Speech Sound Errors
[Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case152303105596537
APA Style (7th edition)
Mental, Mental, Rebecca.
Using Realistic Visual Biofeedback for the Treatment of Residual Speech Sound Errors.
2018. Case Western Reserve University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=case152303105596537.
MLA Style (8th edition)
Mental, Mental, Rebecca. "Using Realistic Visual Biofeedback for the Treatment of Residual Speech Sound Errors." Doctoral dissertation, Case Western Reserve University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case152303105596537
Chicago Manual of Style (17th edition)
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Document number:
case152303105596537
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Copyright Info
© 2018, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.