Statistical Analysis of RFQ Subscales and Treatment Effectiveness

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Added on  2020/06/06

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This report presents a statistical analysis of the relationships between Reflective Functioning Questionnaire (RFQ) subscales and various psychological measures, including attachment styles (anxiety and avoidance) and depression levels (measured by the Hamilton Depression Rating Scale and Beck Depression Inventory). The analysis investigates correlations between RFQ subscales (RFQ_LHL, RFQ_HL, LRFu) and these measures at baseline and after a DIT (Dialectical Behavior Therapy) treatment. It examines whether baseline RFQ scores predict treatment outcomes and whether changes in RFQ scores during treatment correlate with changes in depression levels. The report includes correlation tables, paired sample t-tests, and regression analyses to evaluate the hypotheses and interpret the statistical significance of the findings. The results suggest that certain RFQ subscales are significantly correlated with attachment and depression measures, and that baseline RFQ scores can predict treatment outcomes.
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