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The COVID-19 pandemic alters many aspects of everyday life that we have grown accustomed to. The enactment of various new policies to curb the spread of the disease, i.e., social distancing, work and study from home, restrictions on large-scale activities and restriction in travelling, compel each one of us to adjust. Not to mention the fear of being infected with COVID-19. These conditions led to various psychological problems such as anxiety, low hope, and negative emotions. Efforts to improve people’s mental health are urgently needed. One such step is to increase one’s understanding of self-management in facing psychological problems due to COVID-19. This study aims to improve the community’s mental health, namely the residents of Blotan hamlet during the COVID-19 pandemic through online self-management psychoeducation. To test the effectiveness of psychoeducation, this study used a one-group pre and post-test design. A total of 31 subjects participated in the activity in full. We can infer the effectivity through the anxiety score, hope, and positive emotions on the pre and post-test measurements. The results found that self-managed psychoeducation facing psychological problems during the pandemic significantly increased positive emotions (t = -2,753, df = 30, and p

This analysis study is one of several stages that must be passed before testing the structural model. This study is initiated due to the limited information related to the measurement of the Positive Affect Scale within the academic settings. The research method used in this study was a quantitative method. It was done in among 724 students of state junior high schools in Sleman, Yogyakarta. The instrument development consisted of guideline arrangement, language feasibility testing, content validation through expert judgments, trials to measure the item discrimination index, item selection based on the item discrimination results, items representation for each indicator, and the construct validity test for the selected items. The testing of the measurement model used the data analysis techniques of Structural Equation Models (SEM) with the assistance of the AMOS program version of 21. The results of the study show that the validity analysis of the Positive Affect Scale within the academic setting was able to produce items that can reveal constructs or latent concepts appropriately.