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Correlations between total scores on the verbal abuse questionnaire versus the rank-transformed betweenness centralities of daily-life disturbance ( A,B,C ) and withdrawal caused by smartphone overuse ( D,E,F ) calculated from the intra-individual covariance networks (at network sparsity level of K = 0.10) of perceived verbal abuse, psychopathology, and social interaction patterns (all Ps < 0.001). Brown-colored polynomial curves (degree of polynomial fit = 3) were fitted using the ‘polyfit’ function of Matlab <t>R2017a.</t>
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Correlations between total scores on the verbal abuse questionnaire versus the rank-transformed betweenness centralities of daily-life disturbance ( A,B,C ) and withdrawal caused by smartphone overuse ( D,E,F ) calculated from the intra-individual covariance networks (at network sparsity level of K = 0.10) of perceived verbal abuse, psychopathology, and social interaction patterns (all Ps < 0.001). Brown-colored polynomial curves (degree of polynomial fit = 3) were fitted using the ‘polyfit’ function of Matlab <t>R2017a.</t>
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Correlations between total scores on the verbal abuse questionnaire versus the rank-transformed betweenness centralities of daily-life disturbance ( A,B,C ) and withdrawal caused by smartphone overuse ( D,E,F ) calculated from the intra-individual covariance networks (at network sparsity level of K = 0.10) of perceived verbal abuse, psychopathology, and social interaction patterns (all Ps < 0.001). Brown-colored polynomial curves (degree of polynomial fit = 3) were fitted using the ‘polyfit’ function of Matlab <t>R2017a.</t>
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Correlations between total scores on the verbal abuse questionnaire versus the rank-transformed betweenness centralities of daily-life disturbance ( A,B,C ) and withdrawal caused by smartphone overuse ( D,E,F ) calculated from the intra-individual covariance networks (at network sparsity level of K = 0.10) of perceived verbal abuse, psychopathology, and social interaction patterns (all Ps < 0.001). Brown-colored polynomial curves (degree of polynomial fit = 3) were fitted using the ‘polyfit’ function of Matlab <t>R2017a.</t>
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Correlations between total scores on the verbal abuse questionnaire versus the rank-transformed betweenness centralities of daily-life disturbance ( A,B,C ) and withdrawal caused by smartphone overuse ( D,E,F ) calculated from the intra-individual covariance networks (at network sparsity level of K = 0.10) of perceived verbal abuse, psychopathology, and social interaction patterns (all Ps < 0.001). Brown-colored polynomial curves (degree of polynomial fit = 3) were fitted using the ‘polyfit’ function of Matlab <t>R2017a.</t>
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Correlations between total scores on the verbal abuse questionnaire versus the rank-transformed betweenness centralities of daily-life disturbance ( A,B,C ) and withdrawal caused by smartphone overuse ( D,E,F ) calculated from the intra-individual covariance networks (at network sparsity level of K = 0.10) of perceived verbal abuse, psychopathology, and social interaction patterns (all Ps < 0.001). Brown-colored polynomial curves (degree of polynomial fit = 3) were fitted using the ‘polyfit’ function of Matlab R2017a.

Journal: Scientific Reports

Article Title: Verbal Abuse Related to Self-Esteem Damage and Unjust Blame Harms Mental Health and Social Interaction in College Population

doi: 10.1038/s41598-019-42199-6

Figure Lengend Snippet: Correlations between total scores on the verbal abuse questionnaire versus the rank-transformed betweenness centralities of daily-life disturbance ( A,B,C ) and withdrawal caused by smartphone overuse ( D,E,F ) calculated from the intra-individual covariance networks (at network sparsity level of K = 0.10) of perceived verbal abuse, psychopathology, and social interaction patterns (all Ps < 0.001). Brown-colored polynomial curves (degree of polynomial fit = 3) were fitted using the ‘polyfit’ function of Matlab R2017a.

Article Snippet: Brown-colored polynomial curves (degree of polynomial fit = 3) were fitted using the ‘polyfit’ function of Matlab R2017a.

Techniques: Transformation Assay