Despite the fact that cyberbullying is common on social media, only a few instruments have beendeveloped to assess cyberbullying tendencies in the social media context. The purpose of this study is to develop a Cyberbullying in Social Media Scale (CSMS) for cyberbullying perpetration. Participants are active social media users in Indonesia (n = 958) between the ages of 18 and 40. The Cronbach alpha reliability testing showed that CSMS had a high internal consistency (α =.852). Confirmatory factor analysis revealed that CSMS fit the one-factor model (χ² (54) = 154.891, p < 0.001, RMSEA = 0.044 [90% CI 0.036, 0.052], CFI = 0.906, TLI = 0.885, SRMR = 0.049). Convergent-discriminant validity testing method using the Big Five Inventory also showed that CSMS is valid in measuring cyberbullying perpetration in the social media context. The Cyberbullying in Social Media Scale (CSMS) is a developed unidimensional measurement tool that evaluates cyberbullying tendencies on social media. The CSMS has demonstrated reliability and validity, making it a valuable new instrument for screening and assessing levels of cyberbullying tendencies among young adults in Indonesia. As such, the scale has practical applications for guiding interventions and investigating cyberbullying behavior.

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While many known risk factors and mechanisms for psychosis exist, the time it takes for these risk factors and mechanisms to influence psychosis remains unclear. Furthermore, the average duration of a psychotic symptom has not been estimated. The aim of the study is to discover the average duration of an episode of psychotic symptoms and other mental disorders, as well as the average duration by which psychological mechanisms of risk factors and psychotic symptoms or other mental disorders operate. This study is an online longitudinal survey with various time-interval assessments (baseline, 7 daily, 4 weekly, 4 fortnightly, and 6 monthly assessments). A community sample of Indonesians were recruited via internet and a sample of help-seekers were recruited from clinical practices. From November 2018 to March 2019, we recruited 464 participants who completed the baseline survey from the community. Of the 464 participants, 73% of them are female with ages ranging from 18 - 57 years and 33.2% reported having been diagnosed with at least one mental disorder. The expected results of the surveys provide us with estimates regarding appropriate time-intervals of risk factors and mechanisms of psychosis.