Literature DB >> 31697609

Using Computer Programs for Language Sample Analysis.

Mollee J Pezold1, Caitlin M Imgrund2, Holly L Storkel1.   

Abstract

Purpose Although language sample analysis is widely recommended for assessing children's expressive language, few school-based speech-language pathologists routinely use it, citing a lack of time, resources, and training (Pavelko, Owens, Ireland, & Hahs-Vaughn, 2016). The purpose of this clinical tutorial is (a) to describe options for language sample analysis using computer programs and (b) to demonstrate a process of using language sample analysis focused on the assessment of 2 preschool children as case studies. Method We provide an overview of collecting and analyzing child language samples and describe 3 programs for language sample analysis: 2 dedicated software programs (Computerized Language Analysis [MacWhinney, 2000] and Systematic Analysis of Language Transcripts [Miller & Iglesias, 2015]) and 1 protocol for using word processing software to analyze language samples (Sampling Utterances and Grammatical Analysis Revised; Pavelko & Owens, 2017). We also present analysis results from each program for play-based language samples from 2 preschool children and detailed analysis of the samples with potential treatment goals. Results Each program offers different analyses, comparison databases, and sampling contexts. We present options for additional analysis, clinical interpretations, and potential treatment goals based on the 2 preschool cases. Conclusion Clinicians can use computer programs for language sample analysis as part of a process to make naturalistic language assessment more feasible. Supplemental Material https://doi.org/10.23641/asha.10093403.

Entities:  

Year:  2019        PMID: 31697609     DOI: 10.1044/2019_LSHSS-18-0148

Source DB:  PubMed          Journal:  Lang Speech Hear Serv Sch        ISSN: 0161-1461            Impact factor:   2.983


  7 in total

1.  The Index of Productive Syntax: Psychometric Properties and Suggested Modifications.

Authors:  Ji Seung Yang; Brian MacWhinney; Nan Bernstein Ratner
Journal:  Am J Speech Lang Pathol       Date:  2021-11-08       Impact factor: 4.018

2.  Contributions of Oral Narrative Skills to English Reading in Spanish-English Latino/a Dual Language Learners.

Authors:  Becky H Huang; Lisa M Bedore; Rica Ramírez; Nicole Wicha
Journal:  J Speech Lang Hear Res       Date:  2021-12-20       Impact factor: 2.674

3.  Automated Progress-Monitoring for Literate Language Use in Narrative Assessment (LLUNA).

Authors:  Carly Fox; Sharad Jones; Sandra Laing Gillam; Megan Israelsen-Augenstein; Sarah Schwartz; Ronald Bradley Gillam
Journal:  Front Psychol       Date:  2022-05-16

4.  Use of Computerized Language Analysis to Assess Child Language.

Authors:  Julianne Garbarino; Nan Bernstein Ratner; Brian MacWhinney
Journal:  Lang Speech Hear Serv Sch       Date:  2020-03-18       Impact factor: 2.983

5.  Using Free Computer-Assisted Language Sample Analysis to Evaluate and Set Treatment Goals for Children Who Speak African American English.

Authors:  Courtney Overton; Taylor Baron; Barbara Zurer Pearson; Nan Bernstein Ratner
Journal:  Lang Speech Hear Serv Sch       Date:  2021-01-18       Impact factor: 2.983

6.  Measurement of Lexical Diversity in Children's Spoken Language: Computational and Conceptual Considerations.

Authors:  Ji Seung Yang; Carly Rosvold; Nan Bernstein Ratner
Journal:  Front Psychol       Date:  2022-06-22

7.  Taking Language Samples Home: Feasibility, Reliability, and Validity of Child Language Samples Conducted Remotely With Video Chat Versus In-Person.

Authors:  Brittany L Manning; Alexandra Harpole; Emily M Harriott; Kamila Postolowicz; Elizabeth S Norton
Journal:  J Speech Lang Hear Res       Date:  2020-11-13       Impact factor: 2.297

  7 in total

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