Psychoanalysis : eISSN 2383-7624 / pISSN 1226-7503

Fig. 1.

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Fig. 1. Visualization of correlations between LPFS-SR and MCMI-IV scales based on spring algorithm (The thickness of the lines represents the magnitude of the Pearson correlation coefficient, while the distance between nodes becomes closer when the correlation between the variables represented by each node is stronger. Namely, when the correlation between variables is high, the lines connecting the nodes are shorter and thicker, and when the correlation is low, the lines are thinner and longer). LPFS-SR, Level of Personality Functioning Scale-Self Report; MCMI-IV, Millon Clinical Multiaxial Inventory-IV.
Psychoanal 2024;35:15-21
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