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Luo, Dasen; Chen, Guopeng; Zen, Fanlin; Murray, Bronwyn – Intelligence, 2010
Item responses to Digit Span and Letter-Number Sequencing were analyzed to develop a better-refined model of the two working memory tasks using the finite mixture (FM) modeling method. Models with ordinal latent traits were found to better account for the independent sources of the variability in the tasks than those with continuous traits, and…
Descriptors: Attention Control, Short Term Memory, Correlation, Item Response Theory
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Rose, Susan A.; Feldman, Judith F.; Jankowski, Jeffery J.; Van Rossem, Ronan – Intelligence, 2011
Although it is well established that preterms as a group do poorly relative to their full-term peers on tests of global cognitive functioning, the basis for this relative deficiency is less understood. The present paper examines preterm deficits in core cognitive abilities and determines their role in mediating preterm/full-term differences in IQ.…
Descriptors: Body Weight, Structural Equation Models, Intelligence Quotient, Premature Infants
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Schweizer, Karl; Moosbrugger, Helfried; Goldhammer, Frank – Intelligence, 2005
The relationship between attention and general intelligence was investigated considering the different types of attention: alertness, sustained attention, focused attention, attentional switching, divided attention, attention according to the supervisory attentional system, attention as inhibition, spatial attention, attention as planning,…
Descriptors: Intelligence, Structural Equation Models, Attention, Cognitive Ability