Quantitative Analysis of Time-Series Data

Time-series, or longitudinal, data are arranged in terms of time information about objects (individuals, social groups, territorial units, or organizations). Due to the increasing possibilities for data collection by means of contemporary information technologies, such data are becoming more and more accessible to researchers. However, the methods of handling and analysis of time series differ from the traditional datasets with which sociologists work due to their specificity, in particular deviations from the presumption of independence of observations and measurability of the steps between observations. The course "Quantitative analysis of time-series data" is intended to master the methods of creating, processing, and analyzing such data in the R environment, as well as constructing models and forecasting processes.