A Format for Identifying Interactions Among Measures of Communication Skills A Case Study Case Study
Case Study  |   January 01, 1999
A Format for Identifying Interactions Among Measures of Communication Skills
 
Author Affiliations & Notes
  • Patricia M. Hargrove
    Department of Speech, Hearing and Rehabilitation Services; MSU #77; Minnesota State University, Mankato; Mankato, MN 56002
  • Jacquelyn Frerichs
    Jackson County Central School District, Jackson, MN
  • Kimberli Heino
    Waterville-Elysian-Morristown Schools, Waterville, MN
Article Information
Speech, Voice & Prosodic Disorders / Voice Disorders / Language Disorders / Speech, Voice & Prosody / Case Study
Case Study   |   January 01, 1999
A Format for Identifying Interactions Among Measures of Communication Skills
Language, Speech, and Hearing Services in Schools, January 1999, Vol. 30, 11-25. doi:10.1044/0161-1461.3001.11
History: Received January 23, 1996 , Accepted February 3, 1997
 
Language, Speech, and Hearing Services in Schools, January 1999, Vol. 30, 11-25. doi:10.1044/0161-1461.3001.11
History: Received January 23, 1996; Accepted February 3, 1997

A format for longitudinally tracking interactions among measures representing different domains of communication was developed in response to calls for integrative approaches to language assessment. This longitudinal case study examined measures of segmental phonology, nonsegmental phonology, and syntax/morphology in a child with language impairment in order to illustrate the effectiveness of this format in identifying interactions. The format detected trade-offs and co-occurrences, which changed during the 6 1/2 yearsof study. The results support Crystal’s (1987) "bucket" theory of language and the value of integrative approaches to assessment.

ACKNOWLEDGMENT
The authors appreciate the following for their comments relative to the preparation of this manuscript: Alex Brice, Bruce Poburka, and several journal reviewers. The authors also wish to thank Ludie Hansen for her assistance in transcription and data analysis.
The project was funded in part by a grant from the College of Graduate Studies at Minnesota State University, Mankato.
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