Categorical data analysis

Project: OtherProject from scientific scope of research unit

Project Details

Description

Categorical data occur in many fields of application like economics, sociology, medicine or education. Examples for categorical variables are sex, highest educational level, industry sector, legal form of a company, or medical treatment. As methods designed for metric data are not appropriate for these data, our focus is on statistical methods designed specifically for the analysis of categorical variables like logistic regression, latent class analysis or cluster analysis. Additionally we are interested in joint models for continuous and categorical response variables and investigate the measurement of a latent metric variable using different categorical scales.
StatusActive
Effective start/end date01.01.201231.12.2025

Fields of science

  • 101024 Probability theory
  • 504 Sociology
  • 305 Other Human Medicine, Health Sciences
  • 106 Biology
  • 502 Economics
  • 105 Geosciences
  • 102009 Computer simulation
  • 103 Physics, Astronomy
  • 101 Mathematics
  • 101018 Statistics
  • 101029 Mathematical statistics
  • 509 Other Social Sciences
  • 504006 Demography
  • 305907 Medical statistics
  • 502051 Economic statistics
  • 504004 Population statistics
  • 105108 Geostatistics
  • 509013 Social statistics
  • 102035 Data science
  • 101026 Time series analysis
  • 106007 Biostatistics
  • 102037 Visualisation
  • 303007 Epidemiology
  • 303040 Health services research
  • 502025 Econometrics
  • 504007 Empirical social research
  • 101007 Financial mathematics

JKU Focus areas

  • Sustainable Development: Responsible Technologies and Management
  • Digital Transformation