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ERIC ED371528: Language Sample Analysis: The Wisconsin Guide. Bulletin 92424. PDF

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Preview ERIC ED371528: Language Sample Analysis: The Wisconsin Guide. Bulletin 92424.

DOCUMENT RESUME ED 371 528 EC 303 115 AUTHOR Leadholm, Barbara J.; Miller, Jon F. TITLE Language Sample Analysis: The Wisconsin Guide. Bulletin 92424. INSTITUTION Wisconsin State Dept. of Public Instruction, Madison. PUB DATE Jan 94 NOTE 200p. - AVAILABLE FROM Publication Sales, Wisconsin Department of Public Inztruction, Drawer 179, Milwaukee, WI 53293-0179. PUB TYPE Guides Non-Classroom Use (055) -- Reports Research/Technical (143) EDRS PRICE MF01/PC08 Plus Postage. DESCRIPTORS Case Studies; Cultural Differences; Dialogs (Language); Disabilities; *Disability Identification; Educational Diagnosis; Elementary Se,:ondary Education; Expressive Language; *Instructional Development; Intervention; *Language Impairments; *Language Tests; *Sampling; Student Evaluation IDENTIFIERS *Language Sample Analysis; Wisconsin ABSTRACT yhis publication discusses the role of Language Sample Analysis (LSA) in identifying language disorders, providing detail necessary to initiate a focused intervention pr.,gram, and providing a method for monitoring progress in language intervention. Section 1 provides an overview of the LSA process and types of language disorders, while Section 2 discusses the sampling process in detail. Section 3 describes the transcription process and coding conventions; Section 4 describes analytical procedures that cover various aspects of productive language. A step-by-step review of a case study is included in Section 5. Section 6 reviews the issues and concerns in documenting language disorders in linguistically and culturally diverse populations as well as in children with cognitive, sensory, or 1:otor deficits. Section 7 explains how language sample analysis is ap?lied in the evaluation team process. Appendices contain: (1) the Reference Database, a set of ctiterion-referenced measures of language performance for children ages 3-13; (2) transcript entry conventions for computer and hand analysis procedures; (3) a list of approximately 50 resources for further information; (4) glossary of terms; (5) information on cost-effectiveness of LSA; (6) sample case studies; and (7) materials on how to meet the needs of linguistically and culturally diverse children. References accompany most sections. (JDD) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** Language Sample Analysis: The Wisconsin Guide Uarbara J. Leadholm Consultant Speech and Language Handicapped Programs Jon F. Miller Professor, Uthversity of Wisconsin-Madison Waisman Center on Mental Retardation and Human Development 400coivirtio DPI Wisconsin Department of Public Instruction Madison, Wisconsin 3 This publication is available from: Publication Sales Wisconsin Department of Public Instruction Drawer 179 Milwaukee, WI 53293-0179 X 800 243-8782 Bulletin No. 92424 Reviewed and Approved for Reprint January 1994 @ 1992 by Wisconsin Department of Public Instruction The Wisconsin Department of Public Instruction does not discriminate on the basis of race, color, religion, sex, national origin, age or handicap. Printed on Recycled Paper 4 Contents of the Guide Page Foreword Acknowledgments vfi Introduction ix The Need for Language Sample Analysis 1 Purpose 2 Language and the Educational Process 2 What Constitutes a Language Disorder? 3 Recent Discoveries 7 Summary 13 Language Sampling 2 Introduction 16 Conversational Versus Narrative Samples 18 Collecting Samples for Comparison with the RDB 20 Transcription Aids 21 22 11mn script Length Summary 24 Transcription 3 Introduction 26 The Basic Goals of the Format 26 Standard Transcription Format 29 Transcription Aids 32 Models of the Transcription Process 32 Summary 33 4 Analysis Introduction 36 G-etting Started 36 Measurements of Developmental Progress 36 Measures of Disordered Performance 39 Other Measures of General Interest 43 The Advantages of Computer-Aided Analysis 46 Resources for Detailed Analyses 49 Interpretation 5 Using the Reference Database 54 Summarizing Assessment Data 56 Putting It All Together 60 Summary 69 6 Applications of LSA for Diverse Populations Purpose 72 Distinguishing Language and Cultural Differences from Language Disorders 72 Using LSA to Identify and Describe Disordered Language Performance 75 Evaluating Students with Cognitive, Sensory, and Motor Disabilities 76 Summary 78 7 LSA and the M-Team Process Determining Exceptional Educational Need 84 Intzeasing the Consistency of Identification 89 Final Remarks 89 8 Appendixes A. Reference Database 92 B. Software Information 126 C. Loban's Analysis of Oral Language 141 D. Resources 149 E. Glossary 154 F. Cost Effectiveness 160 G. Sample Case Studies 161 H. Dialectal and Bilingual Considerations 178 6 iv Foreword Wisconsin has long been a leader in the field of education. It is a state committed to In order to meet that providing all students a free, appropriate public education. commitment, we, as educators, must be diligent in our efforts to continually monitor our methods of evaluation, intervention strategies, and programs developed for students with identified exceptional educational needs. This publication (along with follow-up training) has been developed as a result cf that commitment. For many years, speech and language pathologists and directors of special education have been requesting more specific guidance to assist them in identifying students with oral communication disabilities. It is anticipated that the information presented in this publication about language sample analysis (LSA) and data collected in Wisconsin over the past nine years will increase the utilization, consistency, and reliability of language sampling for children in the state with suspected or identified language production disabilities. It will also provide a detailed description of language performance from which a specific intervention plan can be developed. This information is also a great heli; in effectively monitoring the specific progress of children receiving intervention. I encourage you to expand your knowledge and use of language sample analysis. The cost effective technologies described within this publication will provide greater consis- tency in the identification of children with ex.pressive language disabilities among speech and language pathologists within Wisconsin school districts. John T. Benson State Superintendent 7 Acknowledgments The Wisconsin Department of Public Instruction gratefully acknowledges the contribu- tions of a number of dedicated people who have given their valuable time, talent, and expertise to the development of this publication. Thanks and appreciation is also due their local school districts for allowing participation on this task force, despite other pressing Our thanks go to the following individuals involved in the district responsibilities. development of this publication: Christine Freiberg Jim Larson Director of Special Education Speech/Language Pathologist Wausau School District CESA 9 Wausau Tomahawk Kathleen Lyngaas Surita Hall-Smith Speech/Language Pathologist Supervisor of Speech/Language Program Support Teacher and Hearing Impaired Programs Madison Metropolitan School District Green Bay Area School District Madison Green Bay .Pat Johnson Teri Mills District Administrator Elementary Principal K-12 Curriculum Coordinator Lodi School District Johnson Creek School District Lodi Johnson Creek Barbara Rademaker Carol Schmidt Speech/Language Disabilities Speech/Language Pathologist Program Supervisor Mosinee School District Milwaukee Public Schools Mosinee Milwaukee Teresa Goodier Speech/Language Pathologist Program Support Teacher CESA 10 Chippewa Falls Special recognition and thanks goes to: Dr. Brent Zimmerman, Business Manager, Mosinee, for his diligence in keeping our project fiscally sound. The Speech and Language Pathologists from the Madison Metropolitan School District and CESA 9, without whose work in LSA this publication would not be possible. Department of Public Instruction staff to be thanked are Margaret T. Dwyer, text editor; Victoria Rettenmund, graphic artist, Dianne Penman, management information technician; Hazel Fedro, word processing operator, Lisa Isgitt and Jessica Early, proofreaders. vii Introduction Language sample analysis (LSA) has long been considered as one of the best evaluative procedures of expressive language performance. Several factors, however, have limited its general use including a lack of standardized procedures for eliciting language samples, validated measurement categories, normative data, and relevant interpretation strategies. Over the past several years, each of these issues has received attention from funded research projects conducted in Wisconsin's public schools. The results have led to the development of standardized language sampling procedures, language sample norms, and interpretation strategies, all of which can be used in the evaluation process for determining the existence of a handicapping condition in expressive language production..The resulting data also have direct implications for determining special education program intervention strategies, and in monitoring student progress. The goal of this publieation is to share information about Language Sample Analysis (LSA) and to explain why it is critical to the appropriate evaluation of students; who it should benefit; how it can be accomplished; and what information it will provide. The development of this guide was motivated by several issues: the continued statewide increase in speech and language prevalence rates; requests from speech and language pathologists (SLPs) to provide guidelines which will assist in the appropriate determination of a handicapping condition; and a need for statewide norms of expressive language production. When the Madison Metropolitan School District (MMSD) SLPs first met in 1982 to consider how they could effectively implement LSA in a school environment, they identified two goals as central to success. The first was the establishment of a standard methoL 3f collecting, recording, transcribing, and analyzing language samples. The second was the need for a referenced database of typically developing school-age children that would lead to consistent interpretation of test results. This group of SLPs met the first goal when they developed a functional approach to collection, transcription, and analysis of language samples. Meeting the second goal was more difficult because it required the collection oflanguage samples of typically developing children in standard speaking conditions. This project was undertaken in 1984 by the MMSD and the Language Analysis Laboratory of the University of Wisconsin-Madison. The result has been the development of the Reference Database (RDB), a set of criterion referenced measures of language performance for children three to 13 years of age. The Madison sample contained 192 children, three, four, five, six, seven, nine, 11, and 13 years of age, with 27 to 30 children in each group. Application of the RDB statewide raised issues regarding the representativeness of the Madison children, particu- larly rural populations. To evaluate this question, CESA-9 and the Language Analysis Lab in 1987 collected samples from 90 children from rural north-central Wisconsin, 30 each at three, five, and seven years of age. Comparison of these samples with the MMSD data revealed no significant statistical differences between them on developmental measures of language performance. The RDB, which combines both of these data sets, can be found in Appendix A. The combined total of students in the RDB is 266. ix 9 This guide extends the use of Language Sample Analysis in school settings in three important ways. First, it provides a standard methodology for conducting LSA in school settings; second, it includes a set of data derived from Wisconsin children to aid speech and language pathologists' interpretations of language sample analysis; and third, it catego- rizes different types of productive language impairment developed by school-based speech and language pathologists. Section 1 provides an overview of the language sampling analysis process and types of language disorders while Section 2 discusses the sampling process in detail. Section 3 describes the transcription process and coding conventions; Section 4 describes analytical procedures that cover various aspects of productive a language. A step-by-step review of case study is included in Section 5 to assist in the interpretation of data provided by the RDB as well as the development of intervention plans for the child's Individualized Education Program (IEP). Section 6 reviews the issues and concerns in documenting language disorders in linguistically and culturally diverse populations as well as in children with cognitive, sensory, or motor deficits. Finally, Section 7 explains how language sample analysis applies to the M-team process. Appendix A includes the Reference Database. Transcript entry conventions for com- puter and hand analysis procedures make up Appendixes B and C. Appendix D contains additional resources for further information on LSA and related topics. A glossary of terms used in this guide can be found in Appendix E. Appendix F contains information on the cost-effectiveness of LSA that might be of interest to administrators. Appendix G has sample case studies that SLPs can use to assess different kinds of language problems. Finally, Appendix H contains material on how to meet the needs of linguistically and culturally diverse children (LCD). A basic level of training in the principles and assumptions underlying lan- guage sample analysis is assumed. This guide is meant to augment existing knowledge and experience in assessing productive language using Language Sample Analysis techniques. Training materials developed by the Department of Public Instruction will be provided following the publication of this document to help further facilitate the dissemination of this material and provide the "hands on" training needed for implementation. 1 0

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