Institution: see Organisers & Supporters
Programme of study: International Research Workshop
Lecturer: Dr. Michael Großbach (Hanover University of Music, Drama and Media)
Date: Monday, 28/09/15 (09:00 – 18:00) – Tuesday, 29/09/15 (09:00 – 12:00)
Max. number of participants: 20
Credit Points: 5 CP for participating in the whole IRWS
Language of instruction: English
Data analysis is one of the key skills for quantitative researchers. But data analysis is more than just your Stats 101 course in grad school. And it’s not only more I argue, it’s different. Data are not normal, there are outliers and missing values. Data often do not comply with our hypotheses. And yet we can learn from data, given the appropriate tools.
This course introduces the interactive and programmable statistical and graphics software environment R (http://www.r-project.org/), and the Integrated Development Environment RStudio (http://www.rstudio.com/) that provide a polished interface to R. The main topics will be reading data into R, exploratory data analysis – i.e. graphically scrutinising data -, data munging and, finally statistical analysis. Participants will build an ever-expanding knowledge of R as we go along.
Intermittently, participants will be given (anonymous) tests to allow for an evaluation of and give them feedback on their learning progress.
Prerequisites for attending:
- A basic understanding of descriptive and (classic) inferential statistics would definitely be helpful
- A laptop equipped with a wireless adaptor and a recent web browser
You have to register for the 9th International Research Workshop to participate in this course.