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2018/2019  BA-BKOMV6002U  Statistics for Communication Research

English Title
Statistics for Communication Research

Course information
Language English
Course ECTS 7.5 ECTS
Type Elective
Level Bachelor
Duration One Semester
Start time of the course Autumn
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc/MSc in Business Administration and Organizational Communication, BSc
Course coordinator
  • Steffen Blaschke - Department of Management, Society and Communication (MSC)
Main academic disciplines
  • Statistics and quantitative methods
Teaching methods
  • Face-to-face teaching
Last updated on 14-06-2018

Relevant links
Learning objectives
  • Use basic ideas of probability for random sampling and computation of theoretical distribution
  • Compute measures of central tendency, variation, and association
  • Perform basic hypthesis tests
  • Perform analysis of variance
  • Perform non-parametrical tests for categorical variables
  • Visualize data using histograms, boxplots, scatterplots, mosaic plots, and heatmaps
  • Compute basic measures of network analysis
Examination
The exam in the subject consists of two parts:
(Midterm) - Statistics for Communication Research:
Sub exam weight40%
Examination formHome assignment - written product
Individual or group examIndividual exam
Size of written productMax. 10 pages
Assignment typeCase based assignment
Duration72 hours to prepare
Grading scale7-step scale
Examiner(s)One internal examiner
Exam periodAutumn
Make-up exam/re-exam
Same examination form as the ordinary exam
Description of the exam procedure

 NOTE: Both exam modules must be passed separately.

(Final) - Statistics for Communication Research:
Sub exam weight60%
Examination formHome assignment - written product
Individual or group examIndividual exam
Size of written productMax. 10 pages
Assignment typeCase based assignment
Duration72 hours to prepare
Grading scale7-step scale
Examiner(s)One internal examiner
Exam periodWinter
Make-up exam/re-exam
Same examination form as the ordinary exam
Description of the exam procedure

 NOTE: Both exam modules must be passed separately.
Course content and structure

The course introduces students to basic descriptive and inferential statistics for communication research. Bi-weekly lectures take on topics such as measures of central tendency and variance, correlations, hypothesis tests, analysis of variance, and network analysis. They are paired with exercises in statistical computing relevant to communication research. The exercises make use of open-source software R.
Description of the teaching methods
Lectures and hands-on exercises in statistical computing using R.
Feedback during the teaching period
Feedback on exercises, feedback on mid-term exam.
Student workload
Lectures 16 hours
Exercise classes 14 hours
Preparation 176 hours
Total 206 hours
Expected literature

Reinard, J. C. (2006). Communication Research Statistics. New York City, NY: SAGE. Chapters 1-9.

 

Dalgaard, P. (2008). Introductory Statistics with R. New York City, NY: Springer. Chapters 1-5, 7-9.
Last updated on 14-06-2018