475115-FS2023-0-Methodological seminar: Dataset cleaning and preparation in R





Root number 475115
Semester FS2023
Type of course Seminar
Allocation to subject Psychology
Type of exam Seminar paper
Title Methodological seminar: Dataset cleaning and preparation in R
Description The seminar offers a practical introduction to the
systematic scientific processing of a data set in R.

Students will learn from the raw form of the collected
data to simple descriptive and inferential statistical analyses, all the data cleaning, data preparation, and data manipulation using a complex data set. and data manipulation on the basis of a complex data set.

The aim of the course is to familiarise the students with the
to independently manipulate a data set in R with a view to the
manipulation of a data set in R. To this end, the students learn independently in the basics of data preparation and the practical possibilities of data preparation methods in R.
of data set preparation methods in R. They test their knowledge in
quizzes and apply the data preparation step by step to a sample data set on sample data set on stress and health. In the classroom sessions, questions are clarified and further exercises are carried out.

As a certificate of achievement, the students will
data preparation in R for a self-selected question in the sample data set.

Prerequisite for the seminar:

- Knowledge of the statistical basics taught in Statistics I-IV
(Bachelor's programme). Register with the seminar leader,
if you have not attended these courses.
- Initiative, motivation and time during the
for coding in R during the semester.
ILIAS-Link (Learning resource for course) Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible). ILIAS
Link to another web site
Lecturers Benjamin Adrian AmbühlInstitute of Psychology, Psychological and Behavioral Health 
Prof. Dr. Jennifer InauenInstitute of Psychology, Psychological and Behavioral Health 
ECTS 5
Recognition as optional course possible No
Grading 1 to 6
 
Dates Monday 10:15-12:00 Weekly
 
Rooms Seminarraum 002, Seminargebäude vonRoll
Seminarraum 003, Seminargebäude vonRoll
Seminarraum 004, Seminargebäude vonRoll
 
Students please consult the detailed view for complete information on dates, rooms and planned podcasts.