<p><i>Note</i>. All factor correlations are significant at <i>p</i> < 0.001 level.</p><p>Factor Correlations for the Four-Factor Rumination Model.</p
<p>Correlation matrix of predictor variables. Significant (P< 0.05) correlation coefficients are sho...
<p><i>Note</i>. Pearson’s two-tailed correlations are displayed for the negative-mood condition (N =...
<p>Correlations of determined parameters with subjective fear of the susceptibles. Pearson’s r and p...
<p><i>Note</i>. All factor correlations are significant at <i>p</i> < 0.001 level.</p><p>Factor Corr...
<p><i>Note</i>. All factor correlations are significant at <i>p</i> < 0.001 level.</p><p>Factor Corr...
<p>The correlation structure between the ‘Selection Factors’ (factors 1 to 3) and the ‘Assessment Fa...
<p>*Correlation is significant at the 0.05 level (2-tailed).</p><p>**Correlation is significant at t...
<p><i>Note</i>. PFT = Problem-Focused Thinking from RTSQ. CT = Counterfactual Thinking from RTSQ. RT...
<p>**Significant at the 0.01 level.</p><p>Correlation coefficients among the three resistance-associ...
<p>Pearson's correlation coefficients for model variables. Coefficients shown in bold represent sign...
<p>“Control” and “No Control” refer to correlations with and without correction for gender and age f...
<p><sup>a</sup> Correlation is significant at the 0.01 level (2-tailed).</p><p>Correlations between ...
Notes: the solid line shows the quadratic correlation between the variables, and the dashed line sho...
<p>Correlation analysis between the HAM-D scales and rumination and its subscales in the depressed g...
<p>**Correlation is significant at the 0.01 level (2-tailed).</p><p>Pair-wise correlation coefficien...
<p>Correlation matrix of predictor variables. Significant (P< 0.05) correlation coefficients are sho...
<p><i>Note</i>. Pearson’s two-tailed correlations are displayed for the negative-mood condition (N =...
<p>Correlations of determined parameters with subjective fear of the susceptibles. Pearson’s r and p...
<p><i>Note</i>. All factor correlations are significant at <i>p</i> < 0.001 level.</p><p>Factor Corr...
<p><i>Note</i>. All factor correlations are significant at <i>p</i> < 0.001 level.</p><p>Factor Corr...
<p>The correlation structure between the ‘Selection Factors’ (factors 1 to 3) and the ‘Assessment Fa...
<p>*Correlation is significant at the 0.05 level (2-tailed).</p><p>**Correlation is significant at t...
<p><i>Note</i>. PFT = Problem-Focused Thinking from RTSQ. CT = Counterfactual Thinking from RTSQ. RT...
<p>**Significant at the 0.01 level.</p><p>Correlation coefficients among the three resistance-associ...
<p>Pearson's correlation coefficients for model variables. Coefficients shown in bold represent sign...
<p>“Control” and “No Control” refer to correlations with and without correction for gender and age f...
<p><sup>a</sup> Correlation is significant at the 0.01 level (2-tailed).</p><p>Correlations between ...
Notes: the solid line shows the quadratic correlation between the variables, and the dashed line sho...
<p>Correlation analysis between the HAM-D scales and rumination and its subscales in the depressed g...
<p>**Correlation is significant at the 0.01 level (2-tailed).</p><p>Pair-wise correlation coefficien...
<p>Correlation matrix of predictor variables. Significant (P< 0.05) correlation coefficients are sho...
<p><i>Note</i>. Pearson’s two-tailed correlations are displayed for the negative-mood condition (N =...
<p>Correlations of determined parameters with subjective fear of the susceptibles. Pearson’s r and p...
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