Moderating the Consequences of Longitudinal Change for Distal Outcomes

Area of Science:

• Developmental psychology
• Quantitative psychology
• Biostatistics

Background:

• Prior research often estimates unique effects of growth parameters (intercept, slope) separately.
• There is a need to model the combined influence of developmental trajectories on distal outcomes.
• Existing methods may not fully capture the holistic nature of developmental change.

Purpose of the Study:

• To introduce a distal outcome latent curve model with latent interactions.
• To model the joint effect of growth parameters on later developmental outcomes.
• To provide practical guidance for applied researchers on interpreting complex growth models.

Main Methods:

• Development of a latent curve model incorporating latent interactions.
• Analysis of joint effects of growth parameters (intercept and slope) on distal outcomes.
• Utilizing graphical methods (plotting and probing) for effect disambiguation.

Main Results:

• The proposed model estimates the joint effect of growth parameters on distal outcomes.
• Unintuitive time coding effects can influence the direction and significance of parameter estimates.
• Graphical approaches are crucial for understanding and interpreting these joint effects.

Conclusions:

• Modeling developmental trajectories as a whole, rather than isolated parameters, offers a more comprehensive approach.
• Applied researchers should employ plotting and probing techniques to interpret complex growth models.
• Future research should focus on refining methods for analyzing entire developmental trajectories.