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Content provided by The Royal College of Speech and Language Therapists, The Royal College of Speech, and Language Therapists. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Royal College of Speech and Language Therapists, The Royal College of Speech, and Language Therapists or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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IJLCD - Six questions, eight years later: identifying early predictors of language development

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Manage episode 523815712 series 2863451
Content provided by The Royal College of Speech and Language Therapists, The Royal College of Speech, and Language Therapists. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Royal College of Speech and Language Therapists, The Royal College of Speech, and Language Therapists or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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In this podcast we chat with Loretta Gasparini about the research she led on finding a robust predictor tool for persistent language disorders. The aim of this research is to identify young children who are likely to have persisting language difficulties, so that we can recruit them into research, build a strong evidence base and ultimately support them to thrive.

The paper is:

Identifying early language predictors: A replication of Gasparini et al. (2023) confirming applicability in a general population. https://onlinelibrary.wiley.com/doi/10.1111/1460-6984.13086
Loretta Gasparini, Daisy A. Shepherd, Jing Wang, Melissa Wake, Angela T. Morgan

This paper was awarded the International Journal of Language and Communication Disorders 2024 Editors' Prize.

GITHUB LINK:

https://github.com/lottiegasp/languagepredictions

DEMONSTRATOR LINK:

https://storage.googleapis.com/rcslt/Index.html

Please be aware that the views expressed are those of the guests and not the RCSLT.
Please do take a few moments to respond to our podcast survey: uk.surveymonkey.com/r/LG5HC3R

  continue reading

144 episodes

Artwork
iconShare
 
Manage episode 523815712 series 2863451
Content provided by The Royal College of Speech and Language Therapists, The Royal College of Speech, and Language Therapists. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Royal College of Speech and Language Therapists, The Royal College of Speech, and Language Therapists or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

In this podcast we chat with Loretta Gasparini about the research she led on finding a robust predictor tool for persistent language disorders. The aim of this research is to identify young children who are likely to have persisting language difficulties, so that we can recruit them into research, build a strong evidence base and ultimately support them to thrive.

The paper is:

Identifying early language predictors: A replication of Gasparini et al. (2023) confirming applicability in a general population. https://onlinelibrary.wiley.com/doi/10.1111/1460-6984.13086
Loretta Gasparini, Daisy A. Shepherd, Jing Wang, Melissa Wake, Angela T. Morgan

This paper was awarded the International Journal of Language and Communication Disorders 2024 Editors' Prize.

GITHUB LINK:

https://github.com/lottiegasp/languagepredictions

DEMONSTRATOR LINK:

https://storage.googleapis.com/rcslt/Index.html

Please be aware that the views expressed are those of the guests and not the RCSLT.
Please do take a few moments to respond to our podcast survey: uk.surveymonkey.com/r/LG5HC3R

  continue reading

144 episodes

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