Introduction to Statistics Using R

Introduction to Statistics Using R: - Replication crisis in psychological science; - Open Science Framework; - Reproducibility of in psychological science; - Fundamentals of the R language and R environment: variables and assignment, data structures, operators, functions, etc; - R Markdown; - Data wrangling; - Data visualization; - Exploratory data analysis; - Correlation; - Simple and Multiple Linear Regression.

At the end of the module students are able to describe, interpret, explain and apply the following concepts of Introductory Statistics, R programming and Psychological Science: - How replication in psychological science work and what the current results show us; - What kinds of developments there are to find a solution to the replicability crisis in psychological science; - What R language and the environment offer to address this issue; - Fundamentals of R language and environment; - R Markdown as a reproducibility tool; - What common practices in data wrangling are; - Why we should visualize our data and what common practices are; - How exploratory data analysis gives us a 'sense' for the data; - What correlations are and how they can be used; - What simple and multiple regressions are and how they can be used;

The examination consists of a academic elaboration in the form of a written research paper. It asses the students' abilities to recall, interpret, and transfer the contents of the course to various settings. For this purpose, they will be given a dataset (be it real or simulated) and will be asked to apply what they learnt throughout the course and report the research findings by writing a research paper. According to APSO §6(5) we offer a voluntary Mid-Term performance within the module, which leads to an improvement of the calculated examination grade by 0.3. The voluntary Mid-Term performance can be achieved by participating in scientific studies of the department, which are oriented towards the contents of the module. Voluntary Mid-Term performance provides students with the opportunity to gain practical experience in psychological/educational science that illustrates the theoretical content of the module. In direct exchange with the lecturer(s), the students receive a debriefing, which on the one hand ensures that the students have gained deeper insights into empirical science practice. On the other hand, the debriefing provides students with feedback and impulses for their own future theses and collaboration opportunities. The completion of the mid-term performance is not a prerequisite for the successful completion of the module. If interested, registration on MotivaTUM (https://www.motivatum.psy.mgt.tum.de/ motivatum.php) is required. All further information about the process and the general conditions of the Mid-Term Performance can also be found on the MotivaTUM homepage.

BSc degree

presentation, group work, individual assignments and homework; in-class exercises, discussions