In 2016 myself and Ellen Hamaker formed the Causality Reading Group (https://ryanoisin.github.io/crg/) in the Department of Methodology and Statistics at Utrecht University. This group meets in principle every two weeks to discuss approaches to and issues within causal inference.
In what exact circumstances will the use of a different time-interval in data collection lead to totally different substantive conclusions in a cross-lagged design? This is the question Rebecca Kuiper and myself try to tackle in our latest paper, recently accepted to the teacher’s corner section of Structural Equation Modeling.
Myself, Rebecca Kuiper and Ellen Hamaker have recently completed work on a book chapter, providing a broad didactical treatment of the continuous-time (CT) first-order vector autoregressive (VAR(1)) model in the context of psychological research using intensive longitudinal (ESM) data. The pre-print of this book chapter is avaiable for download here.