Publication date
June 2015
DOIAbstract
<p>Random effects models with interactions: Stimulus type x SOA, Stimulus type x Probe response, Stimulus type x STAI-T, Stimulus type x Awareness measure, Stimulus type x Stimulus size, Stimulus type x HPWR.</p
<p>Random effects models with interactions: Stimulus type x SOA, Stimulus type x Probe response, Stimulus type x STAI-T, Stimulus type x Awareness measure, Stimulus type x Stimulus size, Stimulus type x HPWR.</p
<p>Stimulation has two levels (cathodal and sham), and Condition has two levels (C and I). See text ...
<p>Statistically significant effects and interactions observed in the second experimental session.</...
Predicted MSPCstim (left) and MSPCres (right) values obtained from a full Linear Mixed Effects inter...
<p>Random effects models with interactions: Probe response x Stimulus size, HPWR x Stimulus size, ST...
<p>Random effects models with Stimulus type, SOA, Awareness measure and Probe response as the sole m...
<p>Random effects models with interactions: Stimulus type x Dominance measure, Stimulus type x Stimu...
<p>Random effects models with interactions: Dominance measure x Stimulus size, Design x Stimulus siz...
<p>Random effects models with stimulus size, HPWR, STAI-T and visual field as the sole moderator.</p
<p>Random effects models with Stimulus type, Design, Trial length, Dominance measure, Stimulus size ...
<p>Random effects models with stimulus type, stimulus size and awareness measure as the sole moderat...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
An interaction effect exists when the influence of an independent variable X on an outcome variable ...
Attribute interactions are the irreducible dependencies between attributes. Interactions underlie fe...
<p>Stimulation has two levels (cathodal and sham), and Condition has two levels (C and I). See text ...
<p>Statistically significant effects and interactions observed in the second experimental session.</...
Predicted MSPCstim (left) and MSPCres (right) values obtained from a full Linear Mixed Effects inter...
<p>Random effects models with interactions: Probe response x Stimulus size, HPWR x Stimulus size, ST...
<p>Random effects models with Stimulus type, SOA, Awareness measure and Probe response as the sole m...
<p>Random effects models with interactions: Stimulus type x Dominance measure, Stimulus type x Stimu...
<p>Random effects models with interactions: Dominance measure x Stimulus size, Design x Stimulus siz...
<p>Random effects models with stimulus size, HPWR, STAI-T and visual field as the sole moderator.</p
<p>Random effects models with Stimulus type, Design, Trial length, Dominance measure, Stimulus size ...
<p>Random effects models with stimulus type, stimulus size and awareness measure as the sole moderat...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
An interaction effect exists when the influence of an independent variable X on an outcome variable ...
Attribute interactions are the irreducible dependencies between attributes. Interactions underlie fe...
<p>Stimulation has two levels (cathodal and sham), and Condition has two levels (C and I). See text ...
<p>Statistically significant effects and interactions observed in the second experimental session.</...
Predicted MSPCstim (left) and MSPCres (right) values obtained from a full Linear Mixed Effects inter...
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