M.Sc. Human Geography and Sustainability P4 Quantitative Methods

Zugeordnete Module

Modulinhalte

Lecture Quantitative Methods and Statistics

• Quantitative methods of data analysis employed within the areas of Human-Environment Relations and Human Geography
• Provides an opportunity to identify common sources and types of quantitative data and critically reflect on the statistical methods applied to these

Exercise Quantitative Methods and Statistics

• The module revises basic topics in statistics, including types of data variables, probability theory, sampling theory, and descriptive, inferential and goodness-of-fit statistical analyses
• Additional topics include multivariate methods (factor analysis, ANOVA and multivariate regression), logistic regression, Bayesian statistics, and methodological concerns
• Advanced topics methods to obtain more information
  • Cluster analysis
  • Non-parametric methods
  • Monte Carlo simulation
  • Q-Methodology
  • multi-level modelling
  • structural equation modelling
  • network analysis
• Examples and exercises given during the module employ software supported by LMU
  • Excel
  • SPSS

Qualifikationsziele

• Professional and methodological competences
  • understand the major sources of quantitative data in the areas of Human-Environment Relations and Human Geography
  • apply suitable statistical analysis methods to these data
  • critically reflect on analyses found in social science literature

• Social and personal competences
  • perform several common types of statistical analyses with the aid of computer software
  • discuss more advanced statistical techniques and how to learn more about their use