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Improving IQ measurement in intellectual disabilities using true deviation from population norms

Overview of attention for article published in Journal of Neurodevelopmental Disorders, July 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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2 X users
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1 patent
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1 Facebook page
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2 Wikipedia pages

Citations

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112 Dimensions

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95 Mendeley
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Title
Improving IQ measurement in intellectual disabilities using true deviation from population norms
Published in
Journal of Neurodevelopmental Disorders, July 2014
DOI 10.1186/1866-1955-6-16
Pubmed ID
Authors

Stephanie M Sansone, Andrea Schneider, Erika Bickel, Elizabeth Berry-Kravis, Christina Prescott, David Hessl

Abstract

Intellectual disability (ID) is characterized by global cognitive deficits, yet the very IQ tests used to assess ID have limited range and precision in this population, especially for more impaired individuals. We describe the development and validation of a method of raw z-score transformation (based on general population norms) that ameliorates floor effects and improves the precision of IQ measurement in ID using the Stanford Binet 5 (SB5) in fragile X syndrome (FXS; n = 106), the leading inherited cause of ID, and in individuals with idiopathic autism spectrum disorder (ASD; n = 205). We compared the distributional characteristics and Q-Q plots from the standardized scores with the deviation z-scores. Additionally, we examined the relationship between both scoring methods and multiple criterion measures. We found evidence that substantial and meaningful variation in cognitive ability on standardized IQ tests among individuals with ID is lost when converting raw scores to standardized scaled, index and IQ scores. Use of the deviation z- score method rectifies this problem, and accounts for significant additional variance in criterion validation measures, above and beyond the usual IQ scores. Additionally, individual and group-level cognitive strengths and weaknesses are recovered using deviation scores. Traditional methods for generating IQ scores in lower functioning individuals with ID are inaccurate and inadequate, leading to erroneously flat profiles. However assessment of cognitive abilities is substantially improved by measuring true deviation in performance from standardization sample norms. This work has important implications for standardized test development, clinical assessment, and research for which IQ is an important measure of interest in individuals with neurodevelopmental disorders and other forms of cognitive impairment.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 19%
Student > Ph. D. Student 14 15%
Student > Master 8 8%
Student > Doctoral Student 7 7%
Other 7 7%
Other 14 15%
Unknown 27 28%
Readers by discipline Count As %
Psychology 23 24%
Medicine and Dentistry 11 12%
Neuroscience 7 7%
Social Sciences 6 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 13 14%
Unknown 31 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 28 January 2024.
All research outputs
#4,448,251
of 24,129,125 outputs
Outputs from Journal of Neurodevelopmental Disorders
#204
of 495 outputs
Outputs of similar age
#41,468
of 230,150 outputs
Outputs of similar age from Journal of Neurodevelopmental Disorders
#4
of 16 outputs
Altmetric has tracked 24,129,125 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 495 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has gotten more attention than average, scoring higher than 58% 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 230,150 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 81% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.