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Because of the multiple correlations conducted, a Bonferroni correction was applied (0.05/18 tests resulting in a significance level of P < 0.0028).
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Four variables were used as predictors of the multiple correlation analyses conducted on MEG data and were labeled as Visual Complexity, Specific Semantic Features, Action Features, and Word Form, respectively.
However, since multiple correlation analyses were conducted, the cut-off for significance (p = 0.05) should be divided by the number of tests.
Exploratory factor analysis using squared multiple correlations as prior communality estimates was conducted in each sub-sample separately to assess the consistency of the factor pattern.
Stepwise regression analyses were conducted to analyse the multiple correlations between the different DAYAS scores and the FBB-ADHD scores.
First, for the second aim of the study we conducted multiple correlation analyses in a relatively small sample of subjects.
1SMC-squared multiple correlations.
Additional file 1 Multiple correlations.
This correlation remained significant after adjustment for multiple correlations.
Two-parameter correlations were conducted with Spearman correlation analysis.
Multiple regressions were conducted to assess the correlations among an agent's instructional style, positive emotion, and multimedia learning environment perception.
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