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DOI: 10.1055/s-0036-1572564
Self-Assessment Questions
Publikationsverlauf
Publikationsdatum:
16. Februar 2016 (online)
This section provides a review. Mark each statement on the Answer Sheet according to the factual materials contained in this issue and the opinions of the authors.
Article One (pp. 3–9)
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Big Data refers to
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large volumes of electronic records
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social media data
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ways of extracting patterns from unstructured data
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all of the above
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Which statement best characterizes the Collaboration of Aphasia Trialists?
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It is a documentation system of patients in acute care settings in the United States.
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It is a collaboration of speechlanguage pathologists who serve individuals with aphasia in the United States.
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It is a Big Data repository of multimedia discourse samples of individuals with aphasia.
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It is a partnership between multidisciplinary researchers focusing on aphasia aimed at sharing methodologies and scientific findings across Europe.
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The goal of the Alzheimer's Disease Big Data Dream Challenge was to
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stratify Alzheimer disease patient data into subgroups based on severity of cognitive impairment
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identify predictive biomarkers to Alzheimer disease
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create a Big Data repository of neuroimaging scans of individuals with Alzheimer disease
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none of the above
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Which statement best describes the current state of Big Data for aphasia?
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There is no Big Data pertaining to aphasia.
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The only Big Data consists of discourse samples.
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The lack of data analysis tools limits the utility of Big Data discourse samples.
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There are multiple Big Data sets, including those with language samples, intervention dosage, and functional recovery data.
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What are some challenges to Big Data approaches in adult neurorehabilitation?
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Patient privacy and standardization of data collection protocols
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Inadequate expertise
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Individual heterogeneity
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Small sample sizes
Article Two (pp. 10–22)
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AphasiaBank is
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a collection of treatment approaches for aphasia
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a center for individuals and families with aphasia
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a computer program for automated linguistic analysis of aphasia
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a shared multimedia database for the study of communication in aphasia
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a fund for aphasia research
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CLAN is
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a set of programs designed to analyze data transcribed in the CHAT format
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a database of family-based language interactions
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a computer program designed to differentially diagnose aphasia
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a statistical program for linguistic analysis
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a speech recognition tool for use in aphasia and other disorders of language
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AphasiaBank data
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include mostly audio and only a few video samples
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do not include any adults without aphasia
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are used by members who pay an annual fee
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are for university researchers only
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are open to speech-language pathologists and related professionals who request membership for research and educational purposes
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Research from AphasiaBank has shown that
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confrontation naming test scores are good predictors of the proportion of paraphasias in connected speech
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lexical diversity scores are the same across all types of discourse tasks for aphasic and nonaphasic participants
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individuals with aphasia use more gestures than nonaphasic participants in a storytelling task
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type of aphasia has no influence on types of gestures used in a storytelling task
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the use of more gestures is associated with better discourse production in aphasia
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Fergadiotis and colleagues have used statistical techniques and modeling of AphasiaBank data to compare four measures of
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lexical diversity
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paraphasic errors
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rate of speech
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syntactic complexity
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idea density
Article Three (pp. 23–33)
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In aphasia, verb retrieval deficits have been most closely associated with
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noun retrieval deficit
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semantic paraphasias
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agrammatism
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jargon
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executive dysfunction
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Compared with heavy verbs, light verbs are
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semantically underspecified
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syntactically complex
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highly frequent
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all of the above
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none of the above
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Gordon and Dell's (2003) “division of labor” hypothesis proposes
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light verb retrieval relies on syntactic mechanisms
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light verb retrieval relies on semantic mechanisms
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verb retrieval has an inverse relationship with noun retrieval
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narrative language is biased against use of light verbs
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persons with aphasia will not have a light verb deficit
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In this study, the authors tested the division of labor hypothesis by
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examining picture naming of verbs
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automated analysis of narratives in the AphasiaBank corpus
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comparing automated and manual methods of narrative analysis of the AphasiaBank corpus
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comparing comprehension of light and heavy verbs in sentence contexts
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examining verb retrieval in different subtypes of aphasia
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The main findings of this study are
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heavy verb use is associated negatively with semantic and positively with syntactic complexity
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light and heavy verb use could not be predicted by other variables
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remediating verb retrieval improves sentence production
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neurologically healthy persons produced significantly more light verbs than persons with aphasia
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light verb use is associated negatively with semantic and positively with syntactic complexity
Article Four (pp. 34–47)
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Which statement does not characterize analysis of spontaneous speech as a research method?
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It allows study of spontaneous choice of lexical items.
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It allows study of spontaneous choice of grammatical structures.
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It can be based on different types of discourse (narrative, conversation, etc.).
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It allows study of which lexical items/grammatical structures are avoided by the speaker.
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It is strictly experimentally controlled.
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Verb use in people with aphasia can be assessed with regard to which of the following?
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Inflection errors
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Number of argument errors
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Number of arguments used
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Subcategorization options used
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All of the above
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The number of subcategorization options refers to
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the number of the verb's arguments
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the number of different types of grammatical constituents (such as a noun phrase, a clause, etc.) that can complement the verb
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the number of the verb's meanings
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the number of fixed phrases containing the verb
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none of the above
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Based on the findings of the present study, do people with aphasia differ from control participants in their choice and use of verbs, with respect to verb argument structure?
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No, there are no differences.
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The only difference is that people with aphasia use shorter and more frequent verbs.
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Yes; although people with aphasia tend to use verbs of similar or even greater complexity, many people with aphasia use these verbs in simpler and less diverse sentence constructions.
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Yes, people with aphasia cannot access any verbs with complex verb argument structure.
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Yes, people with aphasia use verbs with fewer subcategorization options than control participants.
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Which of the following speech therapy tasks would be the least appropriate for a patient who can retrieve a verb but cannot use it correctly and/or diversely in sentences?
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Picture description with the use of the target verb
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Making a functionally relevant sentence with the target verb
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Single-word naming of a picture eliciting the target verb
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Correcting inflection errors in sentences with the target verb
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Making five sentences with the target verb and different types of arguments
Article Five (pp. 48–60)
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Which of the following factors does not influence the extent of language recovery in individuals with poststroke aphasia?
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Lesion size
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Time poststroke
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Gender
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Initial severity of impairment
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Which of the following is not true about studies that have examined the influence of intensity of treatment?
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More-intense treatment results in better outcomes in patients with chronic aphasia.
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Less-intense treatment results in better outcomes in patients with chronic aphasia.
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More-intense treatment results in better outcomes in patients with acute aphasia.
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More-intense treatment is not different than standard weekly treatment.
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The advantages of Big Data in understanding rehabilitation includes
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stratifying patient data into subgroups to understand what treatments work, for specific types of patients
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the replacement of speech-language clinicians in therapy
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regulation of rehabilitation services
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none of the above
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In the study that examined the influence of self-administered hints,
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patients with more severe impairment used more hints that were beneficial to them
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patients with less severe impairment used more hints that were not beneficial to them
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all patients used hints that were beneficial to them
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patients with more severe impairment used more hints that were not always beneficial to them
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When examining data from hundreds of patients or more, which of the following influences severity of impairment?
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Irrespective of targeted treatment, patients with severe impairment do not improve after treatment.
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When provided with targeted treatment, patients with severe impairment show improvements after treatment.
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When provided with targeted treatment, patients with severe impairment do not improve after treatment.
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Severity does not influence treatment outcomes.
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