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Assessing children’s speech using picture-naming: The influence of differing phonological variables on some speech outcomes

Overview of attention for article published in International Journal of Speech-Language Pathology, January 2016
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  • Among the highest-scoring outputs from this source (#50 of 182)
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Article details
Title
Assessing children’s speech using picture-naming: The influence of differing phonological variables on some speech outcomes
Published in
International Journal of Speech-Language Pathology, January 2016
DOI 10.3109/17549507.2015.1101159
Pubmed ID
Authors

Deborah G. H. James, Wendy A. Ferguson, Andrew Butcher

Abstract

Sometimes, children's speech is judged as typical on picture-naming tests and not on other speech tests, even other picture-naming tests. This study attempts to explain this observation by examining the impact of increasing the numbers of polysyllabic words in a picture-naming test on the outcomes of percentages of consonants and vowels correct and phonological processes. The participants were 283 randomly sampled, typically-developing children, aged 3-7-years. These Australian English speakers named pictures, yielding ∼166 selected words, varied for syllable number, stress and shape, which repeatedly sampled all consonants and vowels of Australian English. Most mismatches occurred in di- and polysyllabic words, with few in monosyllabic words: the usual words in picture-naming speech tests. Significant age effects existed for percentages of consonants and vowels correct and for 12 of the 16 phonological processes investigated. Many age effects were present at 7 years; later than often reported. These findings imply that additional di- and polysyllabic words add value to routine speech testing. Further, children, especially school children, who "pass" speech tests dominated by monosyllabic words may benefit from further examination of their productions of di- and polysyllabic words before finalizing clinical judgements about their speech status.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Australia 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 19%
Student > Master 6 13%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Researcher 3 6%
Other 5 10%
Unknown 19 40%
Readers by discipline
Readers by discipline Count As %
Linguistics 5 10%
Nursing and Health Professions 5 10%
Medicine and Dentistry 5 10%
Psychology 4 8%
Social Sciences 3 6%
Other 3 6%
Unknown 23 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2021.
All research outputs
#6,900,753
of 27,265,018 outputs
Outputs from International Journal of Speech-Language Pathology
#50
of 182 outputs
Outputs of similar age
#94,766
of 407,485 outputs
Outputs of similar age from International Journal of Speech-Language Pathology
#3
of 5 outputs
Altmetric has tracked 27,265,018 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 182 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 407,485 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.