Datenanalyse I (VL+UE)
The lecture covers classical statistical topics and we will work half of the time with SPSS and/or R in a PC-Pool. Note: The lecture will be hold in german, but slides and exercise will be in english.
Topics:
-
Survey design
- Operationalization
- Validity
-
Short repetition of Statistics I+II
- Sampling
- Scaling
- Test theory
- Estimation theory
- Identification of outliers
-
Treatment of missing values
- Types (MAR, MCAR, MNAR)
- Imputation methods (single, multiple)
-
Univariate statistics
- Graphical representation (stem-and-leaf, strip plot, kernel density, violin plot)
- Coeffcients (quantile, entropy, higher moments, hinges and spreads)
- Tests (t-Tests, Mann-Withney-U, Median, Wilcoxon, Kruskal-Wallis, ANOVA, Friedman)
- Transformations (Power, Box-Cox)
-
Bivariate statistics
- Graphical representation (sunflower plot, mosaic plot, trellis display)
- Voeffcients and tests (association and PRE- measure, Cohen's kappa, relative risk, odds ratio)
-
Robust statistics
- Robust coefficients for location and dispersion
- L- and M-estimators for location
- Effect sizes
-
Multivariate statistics
- Graphical representation (mosaic plot, scagnostics, parallel coordinates, Chernoff faces, interactive graphics)
- Principal component analysis
- Exploratory factor analysis (reliability for sum scores)
- Cluster analysis