The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…

The present paper (1) examined variables, which could predict traditional bullying, cyberbullying, traditional victimization and cybervictimization and (2) looked at persons to examine whether academic, socio-emotional and demographic characteristics differed between traditional, cyber and mixed bullies, victims and bully-victims. A sample of…

Chronic victimisation in adolescence is a traumatic experience with potential negative long-term health consequences. Given that victimisation has been shown to increase over the transition from primary to secondary school, longitudinal data from 1810 students transitioning from primary to secondary school were used to identify victimisation…

Researchers have demonstrated that students who had a strong sense of school belonging exhibited greater academic motivation and performance (E. Anderman, 2002; Faircloth & Hamm, 2005), had fewer emotional and behavioral difficulties (Furrer & Skinner, 2003; McMahon, Singh, Garner, & Benhorin; 2004), and were less likely to dropout of…