MMMIGS Workshop on Basic Statistics
The Minds, Media, Machines Integrated Graduate School (MMMIGS) is hosting a workshop about basic statistics for doctoral candidates and postdoctoral researchers. The workshop consists of three regular sessions and one preliminary session in which the tools used during the workshop will be introduced. All sessions take place online and will be held in English. The preliminary session takes place on the 9th of February, 14:00-15:00. The regular sessions take place on the 18th and 23rd of February and on the 2nd of March, 14:00-16:00 each day. It is possible to attend any of the sessions individually. Please find a detailed description of the workshop contents below.
Doctoral candidates and postdoctoral researchers are eligible to participate in the workshop if they are members of a doctoral program that is associated with MMMIGS or if their supervisor is a member of the high-profile area Minds, Media, Machines. Please check your eligibility before registering and provide the corresponding program or working group in the registration form. In case of doubt, please contact MMMIGS coordinator Lena Wollschläger.
In this workshop about basic statistics, participants will learn how to calculate common test statistics, choose the right test for different research scenarios and apply this knowledge in day-to-day research life. During the workshop, R and JASP will be used to demonstrate data preparation and analysis. Participants should install R and Rstudio and test the installation by installing a package prior to Session 1 of the workshop. Any issues will be tackled in the Preliminary session.
Preliminary session (February 9, 14:00 - 15:00)
In the preliminary session, the tools used during the workshop will be introduced. Covering basic usage (starting with installation, if necessary) this session allows participants to become familiar with the tools and enables them to follow the regular sessions with ease.
Session 1 (February 18, 14:00 - 16:00)
In the first part of the workshop, the basis of statistical methods for group comparison in z-tests, t-tests, analyses of variance and regressions will be discussed with simple numerical examples. For this purpose, the respective formulas are derived, the test statistics are calculated and the p-value is determined using tables and software. The relevance of the sample size, the statistical model and the degrees of freedom are also brought into this context and explained and the scientific report of the relevant parameters is explained.
Session 2 (February 23, 14:00 - 16:00)
In the second part, possible uses of statistical methods are discussed using fictitious and real research examples. From the methods developed in the first part, the prerequisites for inferential tests are discussed with the respective tests and options for testing are named and used as examples. The implications of the results of these assumption tests, handling of violations of assumptions and rapporting are discussed.
Session 3 (March 2, 14:00 - 16:00)
In the third part, a professional workflow is modeled by taking up the concepts from the first two workshop parts and working through them together. For this purpose, the diagrams and tables from the previous parts are used for data preparation, acceptance tests, any corrections and a scientific report in order to make the work efficient.