Previous research on adolescent smartphone addiction has tended to focus on general populations that are assumed to be homogeneous, overlooking latent profiles. Furthermore, previous research has not focused on potentially important differences in the latent profiles of adolescent smartphone addiction in networks. The present study aimed to reveal the latent profiles of smartphone addiction, depression, stress, eustress, loneliness, and sleep deprivation in adolescents, and general and latent profiles were examined in the network. The study group consisted of 436 (222 boys and 214 girls) adolescents, aged between 13 and 18 years. The findings of the present study were provided using Pearson correlation, ANOVA, latent profile analysis and network analysis. The data were analyzed using SPSS, JASP, and Mplus. The results of the study showed solutions with three latent profiles. The non-addicted group constituted 20.87%, the addicted group covered 29.82% and the risky group included 49.31% of the study group. Although the general profile and the addicted latent group had similar characteristics, the differences in the risky and non-addicted groups contributed to the current literature by providing a further and remarkable perspective on smartphone addiction, depression, distress, eustress, loneliness, and sleep deprivation in adolescents. The theoretical and practical implications of the present results will provide contributions to researchers and practitioners in understanding smartphone addiction.

This study examined the role of resilience in the lives of cyberbullying perpetrators and their victims. Turkish adolescents (n= 444; 245 girls, 55.2%, and 199 boys, 44.8%) 15–19 years of age (mean age of 16.58 years,SD= 0.789) were recruited from different high schools. The participants completed the Cyberbullying Scale (Arıcak, Kınay, & Tanrıkulu,2012), the Cybervictimisation Scale (Arıcak, Tanrıkulu, & Kınay,2012), and the Child and Youth Resilience Measure (Arslan,2015). The data were analysed using Pearson's correlation coefficient and simple regression. The Pearson correlations revealed that there were negative and significant correlations between cyberbullying perpetration and resilience (r= −.146,p< .01). There were negative and significant correlations between cybervictimisation and resilience (r= −0.203,p< 0.01). Simple regression also revealed that resilience was a significant individual predictor for both cyberbullying perpetration (β = −0.146,t= −3.094,p< .001) and cyber victimisation (β = −0.203,t= −4.357,p< .001).

The present study aimed to adapt and validate the Beliefs About Losing Control Inventory (BALCI) in the non-clinical Turkish emerging adults sample. The study group consisted of 549 participants from three study phases and aged between 18 and 28 years and mainly women. According to the results of the confirmatory factor analysis (CFA), the BALCI Turkish Version (BALCI-TV) confirmed 21 items in three factors. The network analysis findings showed that the items including the factors were together. The results indicated that configural, metric, scalar, and strict invariance across the gender. Cronbach’s α and McDonald’s ω of the total BALCI-TV were .90. Test–retest correlation result was .89. All results indicated that the BALCI-TV had good psychometric properties. The BALCI-TV can be provided to measure control and beliefs related to control within obsessive–compulsive disorder for Turkish academics and mental health practitioners.