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Evaluating the relationship between change in performance on training tasks and on untrained outcomes

Overview of attention for article published in Frontiers in Human Neuroscience, August 2014
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Title
Evaluating the relationship between change in performance on training tasks and on untrained outcomes
Published in
Frontiers in Human Neuroscience, August 2014
DOI 10.3389/fnhum.2014.00617
Pubmed ID
Authors

Elizabeth M. Zelinski, Kelly D. Peters, Shoshana Hindin, Kevin T. Petway, Robert F. Kennison

Abstract

Training interventions for older adults are designed to remediate performance on trained tasks and to generalize, or transfer, to untrained tasks. Evidence for transfer is typically based on the trained group showing greater improvement than controls on untrained tasks, or on a correlation between gains in training and in transfer tasks. However, this ignores potential correlational relationships between trained and untrained tasks that exist before training. By accounting for crossed (trained and untrained) and lagged (pre-training and post-training) and cross-lagged relationships between trained and untrained scores in structural equation models, the training-transfer gain relationship can be independently estimated. Transfer is confirmed if only the trained but not control participants' gain correlation is significant. Modeling data from the Improvement in Memory with Plasticity-based Adaptive Cognitive Training (IMPACT) study (Smith et al., 2009), transfer from speeded auditory discrimination and syllable span to list and text memory and to working memory was demonstrated in 487 adults aged 65-93. Evaluation of age, sex, and education on pretest scores and on change did not alter this. The overlap of the training with transfer measures was also investigated to evaluate the hypothesis that performance gains in a non-verbal speeded auditory discrimination task may be associated with gains on fewer tasks than gains in a verbal working memory task. Gains in speeded processing were associated with gains on one list memory measure. Syllable span gains were associated with improvement in difficult list recall, story recall, and working memory factor scores. Findings confirmed that more overlap with task demands was associated with gains to more of the tasks assessed, suggesting that transfer effects are related to task overlap in multimodal training.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Poland 2 2%
Japan 1 1%
France 1 1%
Unknown 85 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 21%
Student > Master 15 16%
Student > Ph. D. Student 14 15%
Student > Bachelor 12 13%
Student > Doctoral Student 9 10%
Other 15 16%
Unknown 8 9%
Readers by discipline Count As %
Psychology 39 42%
Medicine and Dentistry 11 12%
Neuroscience 11 12%
Engineering 4 4%
Nursing and Health Professions 4 4%
Other 12 13%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 September 2014.
All research outputs
#17,725,418
of 22,761,738 outputs
Outputs from Frontiers in Human Neuroscience
#5,703
of 7,138 outputs
Outputs of similar age
#155,774
of 231,141 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#200
of 241 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,138 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 231,141 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 241 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.