- Jerome R. Busemeyer - Indiana University, Bloomington, USA
- Adele Diederich - Jacobs University Bremen, Germany
Cognitive Psychology (General) | Quantitative/Statistical Research (General)
Very informative, in-depth coverage of the research topic.
Unfortunately, due to the high level of maths required (which is inevitable for this subject), the text is beyond the scope of many of our psychology students. I recommend this book to master students who will use some of these methods for their master's thesis.
I think the book is a very good introduction in modeling in the first chapters. But, I am concerned about current methods in a introductory course, I think students should take at least a reference since the beginning.
Currently the lecturer of Cognitive Neuroscience, gives several papers with EEG and fMRI methods seeking models of cognition at least in half of the lectures. Therefore, in my opinion, would be suit better a book which takes also some aspects currently working, such as Connectivity Analysis and Dynamical Causal Modeling (since 2003).
Let me to recommend to extend the figure 6.5, that could be the route to explain in a short way about Bayesian Inference and Dynamical Causal Modeling. Even more, I would suggest (if it is possible) add a small chapter explaining Structural Equation Modeling, Psycho-Physiological Interaction and Dynamical Causal Modeling, among others ways, as a way to compute effective models working in the brain.
Sample Materials & Chapters
Chapter 1 - Introduction to Cognitive Modeling
Chapter 3 - Nonlinear Parameter Estimation