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Techniques to detect trends in data and differences among tasks, conditions, or groups of participants are also described.
For different research purposes, the IMI consists of varied numbers of items from these subscales, all of which have been shown to be factor analytically coherent and stable across a variety of tasks, conditions, and settings [ 44].
The second characters of words were also matched on several variables across tasks, conditions, and presentation orders using ANOVA models of 2 task (rhyming and spelling) × 4 condition (O+P+, O+P−, O−P+, and O−P−) × 2 presentation order (first word and second word).
The 2-character words were matched on several variables across tasks, conditions, and presentation orders using ANOVA models of 2 task (rhyming and spelling) × 4 condition (O+P+, O+P−, O−P+, and O−P−) × 2 presentation order (first word and second word).
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In addition, because a lower P3 amplitude of the first target is associated with a smaller AB magnitude, one would expect the P3 amplitude to be lower in the concurrent tasks condition than in the standard AB task condition.
Cognitive task performance decreased under dual-task conditions.
In application, our results indicate that redundant visual signals are likely to be as effective at aiding visual detection under multi-task conditions as under single-task conditions.
Contrary to this hypothesis, though, mean single-target RTs for dual-task conditions were credibly longer than those for single-task conditions in across all experiments.
The parameters that describe the varying task conditions define queries into the recorded training data.
The right-hand bars represent the accuracy of identification in the individual task (blue, condition 2) and the Dual-task conditions (red, condition 3).
We found that the dual-task conditions had slower RTs than the control conditions (p <.05).
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