Date of Graduation

5-2025

Document Type

Thesis

Degree Name

Bachelor of Science in Communication Sciences and Disorders

Degree Level

Undergraduate

Department

Communication Disorders and Occupational Therapy

Advisor/Mentor

Bowers, Andrew

Committee Member

Bowers, Lisa

Abstract

Fluency disorders, including stuttering and cluttering, disrupt one’s natural rate of speech and can cause implications for one’s emotional well-being. This study explores the relationship between language factors and stuttered events in preschool-age children by analyzing a spontaneous language sample using two transcription software programs, CLAN and SALT. A language sample was collected from a child enrolled in a local Head Start program and was transcribed and analyzed using the software programs. Results from CLAN’s KIDEVAL and FLUCALC features offered analysis of the child’s language profile, as well as SALT’s standards measure report feature. This study highlights the importance of LSA in the assessment process for fluency disorders along with creating intervention plans.

Keywords

Language Sampling Analysis: Head Start: Fluency: CLAN: SALT

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