Scientific journal paper
Evaluating the Effectiveness of Therapy Methods for Anxiety Reduction: A Comparative Analysis Using One-Way ANOVA and Binary Logistic Regression
Wan-Chen Wang, (Wan-Chen Wang,); Maria de Fátima Pina (Pina, F.); Maria Helena de Aguiar Pereira e Pestana (Pestana, M.H.); Liu Yu_Tso (Yu-Tso, Liu); JHYEH (JHYEH);
Journal Title
Sociology of Health & Illness
Year (definitive publication)
2025
Language
English
Country
United Kingdom
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Abstract
This study investigates the effectiveness of two therapy methods— standard cognitive-behavioral therapy (CBT) and a novel mindfulnessbased therapy (Mindfulness-Based Cognitive Therapy (MBCT)—in reducing anxiety levels. Using a sample of 60 participants, randomly assigned to either therapy group, we measured anxiety levels at baseline, mid-treatment, and post-treatment using the Beck Anxiety Inventory (BAI). One-Way ANOVA was employed to compare the mean anxiety levels between the two groups, while binary logistic regression was used to analyze the effect of anxiety levels on the probability of being in the new therapy group. The results indicate a significant reduction in anxiety levels for the new therapy group MBCT compared to the standard therapy group CBT. This study highlights the importance of using complementary statistical methods to gain a comprehensive understanding of therapy effectiveness and provides valuable insights for clinical practice.
Acknowledgements
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Keywords
One-Way ANOVA,binary logistic regression,odds ratio,predicted probabilities,sensitivity analysis