Sylabus
Generally, we will discuss several key topics of quantitative research. Further we will focus on the possibility of intercommunication between quantitative and qualitative research.
1) Intro + organisation
2) Univariate statistics (Modus, Median, Mean, Standard Deviation) Using excel for visualization of data
3) Probability distributions, Normal Curve, z-scores
4) Statistical inference I. - sampling - samples and populations - hypothesis testing - estimating population parameters
5) Bivariate statistics I. - t-test, chi-test, F-test
6) Bivariate statistics II. -correlation (Pearson vs. Spearmen) - visualization (in excell/R)
7) Bivariate Regression I. - assumptions + limits - interpreting coeficcients (b0, b1, R2 etc.)
8) Bivariate regression II. - residuals (heteroscedasticity/homoscedasticity)
9) Multivariate regression
10) Causal inference -------------------------
11) project presentatins I.
12) project presentations II.