We present three statistical methods for causal analysis in life course research that are able to take into account the order of events and their possible causal relationship: a cross-lagged model, a latent growth model (LGM), and a synthesis of the two, an autoregressive latent trajectories model (ALT). We apply them to a highly relevant…

This study aimed to gain a better understanding of the normative declines in adolescent disclosure and maternal knowledge over the course of adolescence, by assessing the underlying monitoring processes. Multilevel structural equation models were applied to 15 assessments among 479 families across 5 years (13 years at T1, 57% boys, 11% low…

The purpose of this study is to examine relationships among the such variables as socioeconomic status, math self-efficacy, anxiety, and mathematics achievement using structural equation modeling. A sample group of 8,806 students from England, Greece, Hong Kong, the Netherlands, Turkey, and the USA participated in the PISA 2012. To show how much…

Heavy episodic drinking is more common among adolescents with a lower educational level. Aim: This study probed into the mechanism through which a lower educational level is linked to heavier adolescent drinking. Methods: Structural equation modelling was conducted using data from the 2005 Health Behaviour in School-aged Children Survey (n =…

This study explored the validity of the Utrecht Work Engagement Scale in a sample of 853 practicing teachers from Australia, Canada, China (Hong Kong), Indonesia, and Oman. The authors used multigroup confirmatory factor analysis to test the factor structure and measurement invariance across settings, after which they examined the relationships…