ISSN : 1229-067X
This study aimed to examine the effects of cognitive-behavioral therapy (CBT) on social anxiety disorder in South Korea. To achieve this, a meta-analysis and methodological quality assessment were conducted on 13 studies involving Korean adults with social anxiety disorder, published between 2017 and 2023. The quality assessment results revealed that many randomized controlled trials (RCTs) did not meet methodological principles, while non-randomized controlled studies met a relatively higher number of evaluation criteria. Subsequently, the effectiveness of the treatment was assessed by categorizing each study’s measures into social anxiety indicators, treatment mechanism indicators, and depression and generalized anxiety indicators. Additionally, a subgroup analysis was performed to examine differences in effect sizes based on treatment types. The results showed a large effect size for social anxiety and depression and generalized anxiety indicators, and a medium to large effect size for treatment mechanism indicators. Furthermore, the subgroup analysis revealed no significant differences across treatment types for any of the indicators. These findings suggest that CBT functions effectively as an evidence-based treatment. Finally, the implications of the study results and the future prospects of CBT were discussed.
This study aimed to examine the similarities, differences, and continuity between non-suicidal self-injury (NSSI) and suicide. In-depth interviews were conducted with 56 school counselors experienced in counseling adolescents with NSSI or suicide. The data were analyzed using the Modified Consensual Qualitative Research (CQR-M) method. As a result, 3 domains, 8 higher-order categories, and 32 subcategories were identified. The similarities identified encompassed cognitive, emotional, behavioral, functional, and environmental dimensions, including a desire for attention and affection, limited awareness of extreme emotional and cognitive states, and a lack of acceptance within the family environment. In contrast, the differences highlighted that NSSI is often associated with a desire for improvement, whereas suicidal behavior tends to be accompanied by more severe depressive symptoms. The continuity from NSSI to suicide emerged in narratives indicating that self-injury alone does not alleviate feelings of isolation, which may lead to suicide attempts, and that repeated negative thoughts escalating to extremes can result in the progression from self-injury to suicidal behavior. Academic and practical implications based on these findings are discussed.
Latent class analysis (LCA), which uses binary variables, and latent profile analysis (LPA), which uses continuous variables, are methods for extracting and interpreting latent groups based on individuals' response patterns. These methods are widely applied in social sciences, including psychology. Both methods require the essential assumptions to ensure valid results, which is the local independence assumption. Violating this assumption can lead to biased parameter estimates and incorrect identification of latent classes. However, many domestic studies tend to overlook the importance of this assumption and omit procedures to verify whether it holds. This study examines the local independence assumption in LCA and LPA and discusses methods for detecting and modeling violations. It first explains the meaning and role of the local independence assumption in both methods and analyzes how violations affect parameter estimation. Then, the study classifies and explores various techniques for detecting violations and modifying models. Specifically, this study organizes LCA-based detection and modeling methods according to different estimation approaches and investigates how these principles can be extended to LPA. Finally, the study integrates the discussions to highlight its implications and limitations.