Person-Specific Data Analysis

3 credits · Graduate

The course will cover the historical background and development of person-specific analyses as well statistical and theoretical arguments for conducting idiographic research. It will discuss time series data, what it is, and how it differs from cross-sectional and longitudinal data; topics such as including temporal features like trends, cycles, and events, lagged and contemporaneous data structures, sampling frequency and time scale, autocorrelation and cross-correlation; and study design, data acquisition, data pre-processing, and a variety of analytic approaches. Topics will include P-technique Factor Analysis, Vector Autoregression, the GIMME model, Network Analysis, Regression, Machine Learning, and Guassian Finite Mixture Modeling.