Advanced Statistics

Course contents
  • - 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