Introduction to Quantative Data Analysis 3500-ADI-PADI

Classes will be devoted to mastering simple quantitative data analysis techniques along with a reminder of statistical concepts necessary for the conscious use and interpretation of the results of the applied analytical techniques. There will also create the opportunity to recall the fundamentals of statistical inference necessary to speak on the statistical significance of the differences observed between the studied groups (eg. age groups, countries etc.)

The course can be treated as an introduction to learning more difficult issues related to data analysis (such as multidimensional scaling). The assumption of these classes is that participants know the basics of statistics, but do not have experience in the practical application of this knowledge to data analysis. The following analytical techniques will be thoroughly discussed:
The level of measurement and the range of applicability of often used statistical parameters and analytical techniques;
Formulating research questions and their operationalization based on existing data sets;
Study of statistical dependencies: cross-table analysis, correlation and regression study (linear and logistic for many variables);
Factor analysis (if time permits)
Ways to deal with missing data and interpretation of "hard-to-say" or “don’t know” types of answers.

The basic set of data that will be used in the exercises will be the European Values ​​Study from 2017.
Finall assessment will be based on preparation of the individual analysis of the selected issue, which is possible to be studied on the basis of data from the European Values ​​Study. Topics of these analyses will be selected together with the teacher.