Using discourse measures to describe aphasia Alison Ferguson.

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Presentation transcript:

Using discourse measures to describe aphasia Alison Ferguson

Describing aphasic output Fluent ‘Empty speech’ Press of speech Phonemic paraphasias Neologisms Jargon Paragrammatism Non-Fluent Content > function words Effortful ‘telegraphic’ Agrammatism Information proportional to fluency

Why ‘measure’? Prognosis  Recovery  Response to treatment Activity Social Participation Impairment

Assessment Methods DecontextualisedContext manipulatedCONTEXT

Assessment Methods ElicitedNaturalSAMPLE

Assessment Methods word, phrase, clause discourseLEVEL OF LANGUAGE

Assessment Methods quantitativequalitativeDESCRIPTION

Basic discourse measures Field Informative- ness Quantity Duration (elapsed time min:sec) Total completed words Total utterances Total turns Mean turn length in words Quality Lexical diversity – TTR (# diff word roots, total main body words) Grammatical intricacy (average # clauses per utterance) Tenor Speaker roles, workload Collaboration Questions (#, %) Responses to questions (#, %) Interactive Repair (# Prompts, # Appeals for assistance) Mode How was language used? Efficiency Words/minute (complete & intelligible utterances) Utterances with Mazes (#, %) Abandoned Utterances (#, %) Channel Total Communication (describe)

Systematic Analysis of Language Transcripts – V.8 (Miller, 2004)

Automatised analyses

Example of Automatised Analysis

Preliminary outcomes

Fluent vs Non-Fluent Grammatical Intricacy

Fluent vs Non-fluent Efficiency ( Complete & Intelligible Utterances per min)

Concurrent validity – TTR & communicative effectiveness

Basic discourse measures Field Informative- ness Quantity Duration (elapsed time min:sec) Total completed words Total utterances Total turns Mean turn length in words Quality Lexical diversity – TTR (# diff word roots, total main body words) Grammatical intricacy (average # clauses per utterance) Tenor Speaker roles, workload Collaboration Questions (#, %) Responses to questions (#, %) Interactive Repair (# Prompts, # Appeals for assistance) Mode How was language used? Efficiency CIU/minute (complete & intelligible utterances per minute) Utterances with Mazes (#, %) Abandoned Utterances (#, %) Channel Total Communication (describe)