Literature DB >> 24447161

Clinician survey of language sampling practices in Australia.

Marleen F Westerveld1, Mary Claessen.   

Abstract

A national online survey was used to investigate spontaneous language sampling and analysis practices by speech-language pathologists working with children and adolescents. A total of 257 responses were received from clinicians around Australia. Results indicated that spontaneous language samples are collected on a routine basis in elicitation contexts deemed appropriate to the clients' age or developmental stage. However, language samples were generally short, often not recorded, and analysed informally. Consistent with previous research into language sampling practices, the main barrier to more detailed language sample analysis appears to be the time needed for transcription. Despite rapid technological advances in the last two decades, only 12.5% of the respondents reported using computer-assisted transcription and analysis procedures. Suggestions are made on how to promote change in clinical practice to ensure spontaneous language samples are transcribed and analysed in more detail. By transcribing the samples, detailed analysis of children's language performance can be undertaken, allowing for effective goal-setting and assisting in objective progress measuring during and following intervention.

Entities:  

Keywords:  Language sample analysis; child language; speech-language pathology; survey; transcription

Mesh:

Year:  2014        PMID: 24447161     DOI: 10.3109/17549507.2013.871336

Source DB:  PubMed          Journal:  Int J Speech Lang Pathol        ISSN: 1754-9507            Impact factor:   2.484


  9 in total

1.  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

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

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

3.  Sample length affects the reliability of language sample measures in 3-year-olds: evidence from parent-elicited conversational samples.

Authors:  Ling-Yu Guo; Sarita Eisenberg
Journal:  Lang Speech Hear Serv Sch       Date:  2015-04       Impact factor: 2.983

4.  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

5.  Preschool Minority Children's Persian Vocabulary Development: A Language Sample Analysis.

Authors:  Mohamad Reza Farangi; Saeed Mehrpour
Journal:  Front Psychol       Date:  2022-03-17

6.  The Evolution of an Innovative Online Task to Monitor Children's Oral Narrative Development.

Authors:  Amy Scott; Gail Gillon; Brigid McNeill; Alex Kopach
Journal:  Front Psychol       Date:  2022-07-27

Review 7.  Your Laptop to the Rescue: Using the Child Language Data Exchange System Archive and CLAN Utilities to Improve Child Language Sample Analysis.

Authors:  Nan Bernstein Ratner; Brian MacWhinney
Journal:  Semin Speech Lang       Date:  2016-04-25       Impact factor: 1.761

8.  The relationship between trained ratings and untrained listeners' judgments of global coherence in extended monologues.

Authors:  Yvonne Rogalski; Sarah Key-DeLyria; Sarah Mucci; Jonathan Wilson; Lori J P Altmann
Journal:  Aphasiology       Date:  2019-07-26       Impact factor: 2.773

9.  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

  9 in total

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