Abstract
Developmental Sentence Scoring (DSS) is a standardized language sample analysis procedure that uses complete sentences to evaluate and score a child’s use of standard American-English grammatical rules. Automated DSS software can potentially increase efficiency and decrease the time needed for DSS analysis. This study examines the accuracy of one automated DSS software program, DSSA Version 2.0, compared to manual DSS scoring on previously collected language samples from 30 children between the ages of 2;5 and 7;11 (years;months). The overall accuracy of DSSA 2.0 was 86%. Additionally, the present study sought to determine the relationship between DSS, DSSA Version 2.0, the mean length of utterance (MLU), and age. MLU is a measure of linguistic ability in children, and is a widely used indicator of language impairment. This study found that MLU and DSS are both strongly correlated with age and these correlations are statistically significant, r = .605, p < .001 and r = .723, p < .001, respectively. In addition, MLU and DSSA were also strongly correlated with age and these correlations were statistically significant, r = .605, p < .001 and r = .669, p < .001, respectively. The correlation between MLU and DSS was high and statistically significant r = .873, p < .001, indicating that the correlation between MLU and DSS is not simply an artifact of both measures being correlated with age. Furthermore, the correlation between MLU and DSSA was high, r = .794, suggesting that the correlation between MLU and DSSA is not simply an artifact of both variables being correlated with age. Lastly, the relationship between DSS and age while controlling for MLU was moderate, but still statistically significant r = .501, p = .006. Therefore, DSS appears to add information beyond MLU.
Degree
MS
College and Department
David O. McKay School of Education; Communication Disorders
Rights
http://lib.byu.edu/about/copyright/
BYU ScholarsArchive Citation
Chamberlain, Laurie Lynne, "Mean Length of Utterance and Developmental Sentence Scoring in the Analysis of Children's Language Samples" (2016). Theses and Dissertations. 5966.
https://scholarsarchive.byu.edu/etd/5966
Date Submitted
2016-06-01
Document Type
Thesis
Handle
http://hdl.lib.byu.edu/1877/etd8835
Keywords
Developmental Sentence Scoring, automated language sample analysis, automated Developmental Sentence Scoring, mean length of utterance
Language
english