The Advanced Quantitative Research Methods course exposes students to advanced quantitative research techniques. It also enables students to develop skills in designing and conducting advanced quantitative research; and supports the development of students’ own advanced quantitative research programs. Specifically, using a combination of formal lectures, in-class activities, practical sessions with analysis tools on datasets, this course provides an in-depth introduction to different sophisticated and powerful advanced quantitative research techniques: neural networks, clustering, classification, dimensionality reduction, data mining, multivariate analysis, Bayesian inferences, computational modelling, structural equation modelling (SEM), and dynamic causal modelling (DCM). Students will acquire deep knowledge of what can (or cannot) be done with these advanced quantitative methods, with practical examples from cognitive neuroscience and education.
Behavior Research Methods & Instrumentation
Nepalese Journal of Qualitative Research Methods
Behavior Research Methods, Instruments, & Computers
Methodology: European Journal of Research Methods for the Behavioral and Social Sciences
International journal of qualitative methods
Methods of psychological research
Political Science Research and Methods
Educational Research for Social Change
International Journal of Methods in Psychiatric Research
Judd, C M, McClelland, G H, Ryan, C S (2017) Data Analysis: A Model Comparison Approach To Regression, ANOVA, and Beyond (3rd ed.) Open access
Kim, P, (2017) MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence. Open access