While conducting empirical studies, examining the gaps in literature help researchers to

While conducting empirical studies, examining the gaps in literature help researchers to identify suitable methods or change the study design when attempting to replicate the study conducted by other researchers. Therefore, the article Cyberbullying victimization, self-esteem and suicidal ideation in adolescence: Does emotional intelligence play a buffering role? by Extremera, Quintana-Orts, Mérida-López, & Rey, (2018), The influence of self-esteem and (cyber) bullying on adolescents’ well-being: a question of gender? by Reignier, Gascó, & Mónaco, (2022) and An investigation of the relationship between cyberbullying, cybervictimization and depression symptoms: A cross sectional study among university students in Qatar by Alrajeh, Hassan, Al-Ahmed, & Alsayed Hassan, (2021) compares in similarity because all of them examined social Media cyberbullying impact the psychological well-being of depression and self-esteem in adolescence. 
Extremera et al. (2018) and Reignier et al. (2022) are qualitative, correlational analyses examining the effect of cyberbullying on teenagers. Both researchers used bivariate analysis of the data obtained from Spanish students. However, Etremera et al.’s (2018) findings from a sample of 1660 (50.4% female) revealed that increased cyberbullying behavior is positively correlated with suicide but has no connection with emotional intelligence and self-esteem. On the other hand, Reigners et al. (2022) study from a sample population of 797 teenagers (54.2% female) concluded that cyberbullying positively correlates with lower self-esteem and well-being. Male adolescents exhibit lower well-being than females following the experience of victimization, which is a gap missing in Extremera’s (2018) study. However, Alrajeh et al. (2021) research differed from the previous two studies since they utilized Pearson’s correlational analysis to establish the connection between cyberbullying-victimization and depression from a sample of 836 adolescents (81.5% female) confirmed from the Chi-Square analysis that adolescent boys experience high cyberbullying victimization, but female adolescents show higher depressive symptoms. There was no significant correlation between cyberbullying and age. Therefore, these studies examined the effect of cyberbullying based on gender while considering factors such as self-esteem, well-being, emotional intelligence, and depressive symptoms. Thus, identifying gaps in existing studies is essential as it allows researchers to conduct further studies by modifying the study design.