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A Tutorial: Applications of Clinical Self-Efficacy Principles to Mentoring of SLP Assistants
Rubini Pasupathy,Renee Bogschutz,Rajinder Koul 한국언어재활사협회 2017 Clinical Archives of Communication Disorders Vol.2 No.1
There are an increasing number of speech-language pathology assistants (SLP-As) in the public school settings under the supervision of speech-language pathologists (SLPs) in the United States. One of the functions of SLPs is to mentor and facilitate the development of SLP-As. The primary aim of this tutorial is to use the social cognitive model of self-efficacy to enhance the knowledge and skills of SLP-As. Literature in social cognitive theory indicates that self-efficacy is a predictor of performance, particularly in education and health domains. Effectively incorporating the self-efficacy framework in the mentoring of SLP-As will improve clinical performance and outcomes, as well as increase job satisfaction and retention of SLP-As in the school setting.
Spectral and Cepstral Based Acoustic Features of Voices with Muscle Tension Dysphonia
Hee-Jeong Shim,Hun Jung,Rajinder Koul,Do-Heung Ko 한국언어재활사협회 2016 Clinical Archives of Communication Disorders Vol.1 No.1
Purpose: This study aimed to examine the cepstral and spectral acoustic features of patients with muscle tension dysphonia (MTD). Methods: A total of 30 patients with MTD and 30 healthy women (control group) were enrolled. All participants were asked to vocalize a sustained vowel /a/ for more than 3 seconds, which was recorded and analyzed using the Analysis of Dysphonia in Speech and Voice program. Results: Compared with the control group, patients with MTD had significantly lower cepstral peak prominence (CPP) and CPP F0, and significantly higher cepstral and spectral index of dysphonia (CSID) and a low- to high-frequency spectral energy ratio. Additionally, in patients with MTD, there was a high correlation between CPP and perceptual parameters such as grade, roughness, breathiness and strain. Receiver operating characteristic analysis found that a threshold of 11.815 for CSID achieved a good classification for MTD, with 73.3% sensitivity and specificity. Conclusions: By applying cepstral and spectral analysis and identifying the acoustic features of patients with MTD, this study demonstrated the feasibility and usefulness of cepstral parameters in clinical practice.