Type: Bridging course (Comparative Social Research)
Area of studies: Sociology
Delivered at: School of Sociology
Faculty: Faculty of Social Sciences
When: 1 year, 1 module
Instructors: Anna Almakaeva (author, delivers lectures, conducts seminars, checks works and administers exams)
Master’s programme: Comparative Soсial Research
The course aims to provide students with understanding of basic concepts of statistical analysis and basic principles of programming in R statistical package. It gives an overview and practice of the skills necessary for understanding of modern methods of data analysis and conducting independent research with quantitative survey data, using R software. Skills include downloading data, creating a working dataset; recoding and creating new variables; obtaining descriptive statistics (mean, median, moda, standard deviation, variance), frequencies, cross-tabulations and basic graphics in R. The course also puts these skills into the broader academic context by reviewing how statistics are used in published scientific journal articles.