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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Validity of Seven Syntactic Analyses Performed by the Computerized Profiling Software

Minch, Stacy Lynn 11 June 2009 (has links)
The Computerized Profiling (CP) software extracts several quantitative measures from a transcribed sample of a client's language. These analyses include the Mean Length of Utterance in Words (MLU-W) and in Morphemes (MLU-M), the Mean Syntactic Length (MSL), the Syntactic Complexity Score (SCS), Developmental Sentence Scoring (DSS), the Index of Productive Syntax (IPSyn), and the Picture-Elicited Screening Procedure for LARSP (PSL). The validity of these measures was examined by comparing them to the number of finite nominal, adverbial, and relative clauses contained in samples from 54 first-, 48 third-, and 48 fifth-grade students and 24 young adults. The DSS and SCS correlated highly with the frequency of complex constructions; MLU-W, MLU-M, and MSL correlated moderately; and IPSyn and PSL correlated minimally at best.
2

Scoring Sentences Developmentally: An Analog of Developmental Sentence Scoring

Seal, Amy 01 January 2002 (has links) (PDF)
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.

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