1. MS Excel, additional: Data analysis. 2. R, programming languag for data analysis. 3. SAS studio. Simple tool for data analysis. 4. Basic logic of multilevel modeling. 10.
Intraclass correlation coefficient, division of variance. Two-level models with fixed and random effects in the first, rules for building of a model.
Course is focused on statistical data analysis in MS Excel, R and SAS studio. The last part is devoted to multilevel modeling as advanced statistical technique.