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Statistical Research Methods in Psychology, part 1, 7,5 credits

Two courses (Statistical Research Methods in Psychology, part 1 and 2) have been specifically designed to provide a basic theoretical background and an introduction to the various statistical methods used within the discipline of psychology. The two courses are independent of each other. Students already familiar with basic statistical data analysis may opt to take part 2 of the course. For both courses, students are expected to work with their own data.

Course information

Research Education Subject

  • Psychology

Course Syllabus

Course Syllabus

Course Date

November 2017


The course covers the following components:

  • basic statistical concepts
  • describing and exploring data
  • normal distribution
  • sampling advantages and hypothesis testing
  • basic concepts relating to probability
  • categorical data and Chi2
  • power
  • correlation and regression
  • alternative correlation techniques
  • simple variance analysis
  • factorial variance analysis (post hoc tests, planned comparisons, contrast testing, trend analysis)
  • multiple regression analysis
  • analysis of variance and covariance as general linear models
  • sampling and nonparametric methods
  • meta-analysis and single-case design
  • reliability and validity