One major challenge of longitudinal data analysis is to find an appropriate statistical model that corresponds to the theory of change and the research questions at hand. In the present …
Professional ethics compel social workers to address all forms of discrimination and oppression. Microaggressions can contribute to health disparities for marginalized groups; …
Social and behavioral scientists are increasingly interested the dynamics of the processes they study. Despite the wide array of processes studied, a fairly narrow set of models are …
In this study, we investigate using passive data, specifically heart rate and actigraphy, for individuals with binge-type eating disorders such as bulimia nervosa (BN) and binge-eating …
This chapter selectively reviews the evolution of quantitative practices in the field of developmental methodology. The chapter begins with an overview of the past in …
Prescription drug misuse (PDM) is a mounting public health concern in the US, particularly among college students. The field's reliance on cross-sectional designs and limited controls …
Two studies examined the role short-term changes in adult attachment and mindfulness play in depression and general anxiety. Study 1, using a sample of college students (n= 121) …
PR Deboeck, AJ Boulton - Structural Equation Modeling: A …, 2016 - Taylor & Francis
Stochastic differential equation (SDE) models are a promising method for modeling intraindividual change and variability. Applications of SDEs in the social sciences are …
PR Deboeck - Multivariate behavioral research, 2020 - Taylor & Francis
A dynamic system is a set of interacting elements characterized by changes occurring over time. The estimation of derivatives is a mainstay for exploring dynamics of constructs …