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Statistical Research Methods in Psychology, part 2, 7,5 credits

Part 2 of Statistical Research Methods in Psychology provides in-depth knowledge of quantitative methods. The course discusses more advanced multivariate methods for data processing, such as general linear models; multinomial regression; discriminant analysis; path analysis; factor analysis; and a number of different person-oriented analysis methods. An extended course on meta-analysis is also provided.

Course information

Research Education Subject

  • Psychology

Course Syllabus

Course Syllabus

Course Date

October 2017


The course covers the following components:

  • Logistic regression and multinomial regression
  • Discriminant analysis
  • Repeated measurement
  • MANOVA and GLM. Intervention designs
  • Analyses of statistical power and effect sizes
  • Path analysis
  • Mediating mechanisms and moderating conditions
  • Person-oriented analysis methods: Cluster analysis, Sleipner, Exacon, CFA, and person- oriented analyses for longitudinal studies
  • Handling missing data and imputation
  • Meta-analysis