Literature DB >> 27380004

Use of Language Sample Analysis by School-Based SLPs: Results of a Nationwide Survey.

Stacey L Pavelko, Robert E Owens, Marie Ireland, Debbie L Hahs-Vaughn.   

Abstract

PURPOSE: This article examines use of language sample analysis (LSA) by school-based speech-language pathologists (SLPs), including characteristics of language samples, methods of transcription and analysis, barriers to LSA use, and factors affecting LSA use, such as American Speech-Language-Hearing Association certification, number of years' experience, and caseload characteristics.
METHOD: School-based SLPs responded to an invitation to complete an electronic survey related to LSA.
RESULTS: One third of respondents indicated they did not use LSA during the 2012-2013 school year. SLPs who served middle and high school students were less likely to use LSA. Most respondents reported using conversation to analyze fewer than 10 samples and transcribing in real time. Additional analyses revealed that SLPs who had 3 or fewer years of experience and who analyzed fewer than 20 language samples per year were statistically less likely to report using real-time transcription. The most frequently cited barrier to using LSA was "LSA is too time-consuming."
CONCLUSION: Many school-based SLPs do not routinely use LSA. Further, many did not report engaging in evidence-based practices, such as recording samples, using established protocols, or using tasks designed to elicit complex syntax. These results indicate a continued need for professional development regarding evidenced-based practices relative to LSA use.

Mesh:

Year:  2016        PMID: 27380004     DOI: 10.1044/2016_LSHSS-15-0044

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


  12 in total

1.  Speech-Language Pathologists' Clinical Decision Making for Children With Specific Language Impairment.

Authors:  Claire M Selin; Mabel L Rice; Teresa Girolamo; Chien J Wang
Journal:  Lang Speech Hear Serv Sch       Date:  2019-04-23       Impact factor: 2.983

2.  Beyond Scores: Using Converging Evidence to Determine Speech and Language Services Eligibility for Dual Language Learners.

Authors:  Anny Castilla-Earls; Lisa Bedore; Raúl Rojas; Leah Fabiano-Smith; Sonja Pruitt-Lord; María Adelaida Restrepo; Elizabeth Peña
Journal:  Am J Speech Lang Pathol       Date:  2020-08-04       Impact factor: 2.408

3.  Eliciting the Language Sample for Developmental Sentence Scoring: A Comparison of Play With Toys and Elicited Picture Description.

Authors:  Sarita L Eisenberg; Ling-Yu Guo; Emily Mucchetti
Journal:  Am J Speech Lang Pathol       Date:  2018-05-03       Impact factor: 2.408

4.  Alternatives to Traditional Language Sample Measures with Emergent Bilingual Preschoolers.

Authors:  Mark Guiberson
Journal:  Top Lang Disord       Date:  2020 Apr-Jun

5.  Using Computerized Language Analysis to Evaluate Grammatical Skills.

Authors:  Lizbeth H Finestack; Bobbi Rohwer; Lisa Hilliard; Leonard Abbeduto
Journal:  Lang Speech Hear Serv Sch       Date:  2020-04-07       Impact factor: 2.983

6.  Definitions of Nonverbal and Minimally Verbal in Research for Autism: A Systematic Review of the Literature.

Authors:  Lynn Kern Koegel; Katherine M Bryan; Pumpki L Su; Mohini Vaidya; Stephen Camarata
Journal:  J Autism Dev Disord       Date:  2020-08

7.  Using Animated Action Scenes to Remotely Assess Sentence Diversity in Toddlers.

Authors:  Windi Krok; Elizabeth S Norton; Mary Kate Buchheit; Emily Harriott; Lauren Wakschlag; Pamela A Hadley
Journal:  Top Lang Disord       Date:  2022 Apr-Jun

8.  Is Putting SUGAR (Sampling Utterances of Grammatical Analysis Revised) Into Language Sample Analysis a Good Thing? A Response to Pavelko and Owens (2017).

Authors:  Ling-Yu Guo; Sarita Eisenberg; Nan Bernstein Ratner; Brian MacWhinney
Journal:  Lang Speech Hear Serv Sch       Date:  2018-07-05       Impact factor: 2.983

9.  Spontaneous productions of infinitive clauses by English-speaking children with and without specific language impairment.

Authors:  Amy Wilder; Sean Redmond
Journal:  Clin Linguist Phon       Date:  2020-04-14       Impact factor: 1.346

10.  An exploration of automated narrative analysis via machine learning.

Authors:  Sharad Jones; Carly Fox; Sandra Gillam; Ronald B Gillam
Journal:  PLoS One       Date:  2019-10-31       Impact factor: 3.240

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