Excerpt from course description

Methodology for Communication and Digitalization Research


Complete course description will be ready summer 2022.

Solid methods are the foundation for solid science. In this course we focus not only on how to conduct research, but also increase your awareness of why certain methods and tests are relevant, and how they relate to your research question. The course will cover most of the basic statistical analyses, starting with data handling and recoding, and covering experimental statistics (ANOVA, ANCOVA) and statistics fitting survey research (regression).

Course content

  1. Introduction to the course: Different methods in the field and how to critically assess them
  2. Data preparation and critical design decisions: Data quality, Experimental vs. non-experimental designs, Power and reliability, Replications, Code books, Response rates
  3. Experimental statistics: T-tests (comparisons of two groups), Ancova, Anova, Effect sizes 
  4. Regression analysis: Basic: Regression analysis 3, Use of control variables 
  5. Regression analysis: Moderation and mediation: Moderation analysis, Mediation analysis
  6. Consolidation session 1: What test in what situation? Recap
  7. Diary studies and interventions: Considerations underlying diary studies, Multilevel designs
  8. Qualitative analysis: Interviews and coding • Coding at different levels
  9. Network analysis. Bibliometric presentations.
  10. Scraping and analyzing social media/platform data
  11. Scraping and analyzing social media/platform data
  12. Consolidation session 2. Recap

The students will also obtain an understanding of information search strategies. Including:

  • Acquaintance with methods for information, harvesting and search techniques
  • Know what a critical literature review is and how this type of articles may be searched for and used
  • Critical evaluation of sources


This is an excerpt from the complete course description for the course. If you are an active student at BI, you can find the complete course descriptions with information on eg. learning goals, learning process, curriculum and exam at portal.bi.no. We reserve the right to make changes to this description.