Abstract According to Dual Systems models (Casey et al., 2008; Luna and Wright, 2016;
Steinberg, 2008), a rapidly-developing socioemotional system and gradually-developing …

We examine recommendations for three key features of latent growth curve models in the
structural equation modeling framework. As a basis for the discussion, we review current …

Multivariate models for longitudinal data attempt to examine change in multiple variables as
well as their interrelations over time. In this study, we present a Mixed-Effects Model with …

Studying the time-related course of psychological processes is a challenging endeavor,
particularly over long developmental periods. Accelerated longitudinal designs (ALD) allow …

Accelerated longitudinal designs (ALDs) allow examining developmental changes over a
period of time longer than the duration of the study. In ALDs, participants enter the study at …

Multilevel structural equation models (MSEM) are typically evaluated on the basis of
goodness of fit indices. A problem with these indices is that they pertain to the entire model …

The literature on latent change score models does not discuss the importance of using a
precise time metric when structuring the data. This study examined the influence of time …

Longitudinal research methods have brought the idea of change over time into social
science research, but time itself is often paid little attention in the construction of analytical …

The social sciences seek to understand the human experience. This experience unfolds
across time, so it is important for the social sciences to examine longitudinal data (Baltes & …

Fluid reasoning (FR) is the capacity to think logically and solve problems in novel situations,
independent of acquired knowledge. This chapter investigates the age-related trajectories of …