Posts

knitr::include_graphics("/img/flow_drop.jpg", error = FALSE) Summary In this blog, I examine the music-induced optimal state of flow using two algorithms for causal structure learning: Greedy-Equivalent-Search (GES) and the PC algorithm.

knitr::include_graphics("/img/traits.jpg", error = FALSE) Summary In this blog, I analyse the human trait of becoming absorbed in relation to several other traits. Complementary to factor analysis, which is the most commonly applied method used to explain the interrelationships between multiple traits, here network analysis is used to provide alternative, additional insights into the function and meaning of absorption amidst other traits.

knitr::include_graphics("/img/watch.jpg", error = FALSE) Summary In this blog, I test an experiential model of hypnosis using a meta-analytic structural equation modeling approach (MASEM). With Bayesian network structure learning, I use a data-driven technique to examine how the initial model as proposed by Rainville and Price (2003), when slightly restructured, can be further improved.