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DOI: 10.1055/s-0036-1580746
Self-Assessment Questions
Publikationsverlauf
Publikationsdatum:
25. April 2016 (online)
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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. 63–73)
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The Child Language Data Exchange System is
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a collection of treatment approaches for language disorders
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a center for individuals and families with aphasia
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a computer program for automated linguistic analysis of language samples
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a multimedia database for the study of first-language development
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a fund for language learning 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 language disorders
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a statistical program for linguistic analysis
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a speech recognition tool
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KIDEVAL is
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a method for treating language disorder
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a group therapy method
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a method for transcribing language samples
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available for all written languages
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a program compiling summary measures from language samples
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The best measure of lexical diversity is
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vocD
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type-token ratio (TTR)
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Index of Productive Syntax (IPSyn)
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Moving Average Type-Token Ratio
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mean length of utterance (MLU)
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To run the MOR program without error, you must
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link all grammatical relations
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make sure all words are recognized by MOR
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run CHECK
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all the above
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only B and C
Article Two (pp. 74–84)
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Major problems with speech-language pathologists' use of “manual” language sample analysis include all of the following except
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a tendency for few speech-language pathologists to report language sample analysis (LSA) values when assessing children, particularly very young children
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a tendency to report only MLU
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a tendency to collect very short language samples
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all of the above
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Computer-assisted LSA can speed which of the following steps?
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Transcription of the sample
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Grammatical parsing of the sample
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Computation of a wide range of measures using the single transcription
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All of the above
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Currently available reference values for MLU, IPSyn, developmental sentence score (DSS), and TTR are based on particularly small cohorts for which age group?
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Kindergarten children
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Toddlers between 24 and 36 months of age
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Middle school children
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Language-impaired children across the age range
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The two sets of LSA data discussed in this article suggest that
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MLU, DSS, and IPSyn are probably interchangeable measures for assessment purposes
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MLU is probably most informative for older children, contrary to historical opinion
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each of these measures may be more informative at some ages than throughout childhood
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all of the above
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The two sets of LSA data discussed in this article suggest that
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DSS and IPSYN may measure different constructs and therefore are not interchangeable measures
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DSS is basically interchangeable with MLU for most purposes
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VocD and TTR measure basically the same constructs across childhood
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currently available LSA measures are unsuited to clinical practice
Article Three (pp. 85–105)
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PhonBank is:
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a collection of treatment approaches for phonology
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a shared multimedia database for the study of phonology
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a computer program for automated phonological analysis
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a scholarship program to fund research on phonology
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a set of tools for the transcription of phonological data
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Phon is
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a computer system to record data on phonetics and phonology
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a replacement for Praat in the area of acoustic analysis
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a computer program to facilitate the transcription and analysis of phonological data
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a system to automatically convert speech data to IPA transcription
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a test of proficiency for phonology
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A recent survey of clinical practices in speech-language pathology (Brumbaugh and Smit 2013) has shown that
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most clinicians conduct separate analyses of phonological patterns in initial versus final position
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data sharing is becoming the norm among practitioners
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the Hodson Assessment of Phonological Patterns is the most commonly used speech assessment tool
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most clinical assessments of child speech include a formal, blinded evaluation of intelligibility
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only 20% of clinicians use nonlinear/syllable-structure-based approaches to speech intervention
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Within clinical phonology, analyses of phonological production are often framed within the two main categories of
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analyses of sounds and analyses of phonological features
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relational analyses and independent analyses
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prosodic analyses and acoustic analyses
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segmental analyses and positional analyses (within the word or utterance)
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analyses of accurate and inaccurate phonological productions
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Within the context of Phon, structured data recording sessions offer one key advantage, which is that
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they do not require a separate step of orthographic transcription
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they make data analysis easier
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they take less time to record
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they permit the use of specific analyses
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they are easier to achieve for the participants
Article Four (pp. 106–116)
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Which one of the following utterances is not included in the finite verb morphology composite analysis?
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He happy.
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The dog is running.
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John walks every day.
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Eating a cookie.
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Which one of the following utterances does not have a target morpheme for the finite verb morphology composite?
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What is Dad doing?
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She stays in the castle.
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He just ran away.
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The rabbit jumped.
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Literature has shown that the finite verb morphology composite demonstrates acceptable diagnostic accuracy for children up to
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6 years,11 months of age
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8 years, 11 months of age
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10 years, 11 months of age
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12 years, 11 months of age
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Which one of the following utterances is not included in the percent grammatical utterance analysis?
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“Them fighting” in response to the question “What is the boy doing?”
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“Up in the tree” in response to the question “What is happening in the picture?”
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“Playing a game” in response to the question “What is the boy doing?”
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“Taking a cookie” in response to the question “What is happening in the picture?”
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In the assessment, you hear a child say “I want go there. Her is happy. The dog isn't sleeping. The boy put a letter.” What is the value of percent grammatical utterances in the four utterances?
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0%
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25%
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50%
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75%
Article Five (pp. 117–127)
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Which of the following would be considered a stuttering-like disfluency?
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Phrase revision
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Filled pause
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Stall
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Part-word repetition
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Which of the following is not associated with typical disfluencies?
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Compensation for lexical retrieval difficulty
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Buying time without yielding one's conversational turn
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Increased speed of cognitive processing
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Revising one's message after an error occurs
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In terms of stuttering in bilingual children, what statement is true?
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Bilingual children stutter more than monolingual children do.
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There are many studies on bilingualism and stuttering in children.
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Research methods are similar in the bilingual stuttering literature, making it easy to compare across studies.
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Parents of preschool bilingual children appear to overestimate the presence of stuttering in their children.
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Levelt's model of speech production consists of which of the following three levels?
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Conceptualizer, formulator, and articulator
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Lemma, lexeme, and articulator
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Conceptualizer, revision level, and auditory feedback levels
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Reformulator, precognitive, and postproduction levels
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In the sample of 30-month-old bilingual children (n = 20), what statement best summarizes the findings on their typical disfluencies?
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Disfluency rates were significantly higher in English than in Spanish.
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Revisions were the most frequently observed disfluency type.
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There were no significant differences in disfluency rate in Spanish and English.
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Disfluency rate did not correlate with any vocabulary measure.
Article Six (pp. 128–142)
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HomeBank is
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a financial instrument
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a facility specializing in home audio treatment
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an online repository of daylong audio files
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a computer program for collecting audio files in the laboratory
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a computer program to investigate genetic influence of languages
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The process to become a HomeBank member
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does not exist
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requires evidence of ethical training and registration
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is only for principal investigators, but not students or the public
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will be determined by 2020
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requires detailed contracts and Institutional Review Board approval
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Researchers have been using extended audio to study child speech
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since 2010
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since the 1850s
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since at least the 1970s, but improved technology has accelerated its use
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only in animal populations
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only with fixed audio in controlled laboratory situations
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HomeBank database resources are likely to be of interest to
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administrators
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linguists, developmental psychologists, and audio engineers
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ornithology enthusiasts
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preschool children with and without autism
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primarily users with disorders and disabilities
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Some of the basic files contained in HomeBank are
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daylong audio recordings
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metadata associated with audio recordings
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computer programs to process audio recordings
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all of the above
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none of the above
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