Abstract

A variety of tools have been developed to assist in the quantification and analysis of naturalistic language samples. In recent years, computer technology has been employed in language sample analysis. This study compares a new automated index, Scoring Sentences Developmentally (SSD), to two existing measures. Eighty samples from three corpora were manually analyzed using DSS and MLU and the processed by the automated software. Results show all three indices to be highly correlated, with correlations ranging from .62 to .98. The high correlations among scores support further investigation of the psychometric characteristics of the SSD software to determine its clinical validity and reliability. Results of this study suggest that SSD has the potential to compliment other analysis procedures in assessing the language development of young children.

Degree

MS

College and Department

David O. McKay School of Education; Communication Disorders

Rights

http://lib.byu.edu/about/copyright/

Date Submitted

2002

Document Type

Thesis

Handle

http://hdl.lib.byu.edu/1877/etd12

Keywords

naturalistic language, language sample analysis, Scoring Sentences Developmentally, SSD, Mean Length of Utterance, MLU, LARSP, Index of Productive Syntax, IPSyn, Developmental Sentence Scoring, DSS, Computerized Language Analysis, CLAN, Computerized Profiling, CP, Computerized Profiling, CP

Share

COinS