Many applied statistical problems address how change two variables are related. In this chapter derivatives are presented as a language...
This essay reviews emerging trends in modeling repeated measures data. Three longitudinal models are discussed: panel model designs, growth curve...
Stochastic differential equation (SDE) models are a promising method for modeling intraindividual change and variability. This method uses structural equation...
The relationship between global emotion control beliefs and daily affect reports across 56 days were assessed in a sample of...
Effective interventions may not be limited to changing means, but instead may also include changes to how variables affect each...
Intraindividual measures, such as intraindividual standard deviation or coefficient of variation, are incomplete representations variability. Studying variability can be made...
Brief summary of post contents Generalized Local Linear Approximation is a generalization of local linear approximation of derivatives (LLA, Boker...
Using embedded and observed data matrices, a statistical approach to differential equation modeling is presented. This approach appears robust to...
This chapter introduces one approach to describing constructs that consist of easily reversed, short–term changes — data that is often...
Time is unlike any other variable. This chapter considers the difference in perspectives offered by discrete-time and continuous-time approached to...