Advanced Statistics

Lehrinhalte

- Introduction & Repetition of Basic Concepts: Frequency distribu-tions, descriptive statistics, random sampling, theoretical distribu-tions, central limit theorem, hypothesis testing
- Test hypotheses of differences: Contingency tables, chi-square-tests, rank size analysis, Compare means, t-test, ANOVA
Test hypotheses of associations: Simple & multiple regression, nonlinear transformations
Logistic regression: Contingency tables & odds ratios, multiple binary logistic regression
Questionnaires: Questionnaire design, dos & don'ts in survey based research
Indirect measurement of complex dimensions: Likert scaling, sum scores, reliability analysis, Cronbach's alpha
Validation of item sets: Concepts of validity, factor analysis

Studiengang

Master's Program International Health & Social Management