Semantic analysis of words for the Virtual Tool for Speech Assessment

Abstract

ABSTRACT Purpose: to carry out the semantic analysis of a list of words that will compose a virtual tool for speech assessment for children and adolescents. Methods: twenty-three participants, aged between 2 years old and 17 years and 11 months old, from the central region of Rio Grande do Sul, Brazil, assigned the concept of 91 words. Data analysis was performed quantitatively, considering the concept of each word as correct or incorrect. Content Validity Ratio (RVC) and Gwet’s first-order agreement coefficient (AC1) statistical calculation were calculated. Results: from the word list analyzed, 42 stimuli presented CVR = 1; 30 words obtained CVR = 0.9; 11 with CVR = 0.8; six with CVR = 0.7; two had CVR = 0.4. Gwet's AC1 statistical calculation resulted in AC1 = 0.92 [CI = 0.90 - 0.94] for semantic analysis. Conclusion: the list consisted of 91 semantically validated words that can be used to assess the speech production of children and adolescents.

Keywords

• Psychometrics
• Speech
• Online Systems
• Child
• Adolescent