Literature DB >> 3360975

The Shewan Spontaneous Language Analysis (SSLA) system for aphasic adults: description, reliability, and validity.

C M Shewan1.   

Abstract

The Shewan Spontaneous Language Analysis (SSLA) system is designed to describe and quantify aphasic subjects' connected language using a picture description task. The 12 SSLA variables measure the three components of the linguistic system and additional general parameters of verbal output. Intrajudge, interjudge, and test-retest reliability are within acceptable psychometric standards. The SSLA correlates significantly with clinical judgments of the severity of connected language impairment. The system differentiates aphasic from normal performance, using both clinical and statistical methods. SSLA performance data for a group of aphasic subjects and a group of normal controls will be presented.

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Year:  1988        PMID: 3360975     DOI: 10.1016/0021-9924(88)90001-9

Source DB:  PubMed          Journal:  J Commun Disord        ISSN: 0021-9924            Impact factor:   2.288


  5 in total

1.  Auditory-Perceptual Rating of Connected Speech in Aphasia.

Authors:  Marianne Casilio; Kindle Rising; Pélagie M Beeson; Kate Bunton; Stephen M Wilson
Journal:  Am J Speech Lang Pathol       Date:  2019-04-04       Impact factor: 2.408

2.  Age-related differences in the production of textual descriptions.

Authors:  Andrea Marini; Anke Boewe; Carlo Caltagirone; Sergio Carlomagno
Journal:  J Psycholinguist Res       Date:  2005-09

Review 3.  Do age-related word retrieval difficulties appear (or disappear) in connected speech?

Authors:  Gitit Kavé; Mira Goral
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2016-09-01

4.  Transcranial Magnetic Stimulation and Working Memory Training to Address Language Impairments in Aphasia: A Case Study.

Authors:  Despina Kranou-Economidou; Maria Kambanaros
Journal:  Behav Neurol       Date:  2021-11-25       Impact factor: 3.342

5.  Discourse Measures to Differentiate Between Mild Cognitive Impairment and Healthy Aging.

Authors:  Bo Seon Kim; Yong Bum Kim; HyangHee Kim
Journal:  Front Aging Neurosci       Date:  2019-08-21       Impact factor: 5.750

  5 in total

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