Many applied statistical problems address how change two variables are related. In this chapter derivatives are presented as a language...
Mediation models based on cross-sectional data can produce unexpected estimates, so much so that making longitudinal or causal inferences is...
This essay reviews emerging trends in modeling repeated measures data. Three longitudinal models are discussed: panel model designs, growth curve...
A wide variety of models can be understood in terms of the level, velocity, and acceleration of constructs: the zeroth,...
Time is unlike any other variable. This chapter considers the difference in perspectives offered by discrete-time and continuous-time approached to...
Daily data from the NDHWB (n = 783; age range 37–90) were analyzed to produce ‘dynamic characteristic’ estimates of stress...
Historically, it has been easier to describe differences between groups of people, rather than describe the dynamic ways that people...
This article proposes a new method for estimating derivatives on calculating the Empirical Bayes estimates of derivatives from a mixed...
Methods for fitting the damped linear oscillator model using differential equation modeling can yield biased parameter estimates when applied to...
Most methods in statistics are focused on the analysis of mean differences. Mean–difference questions, however, represent only a narrow range...