Course description
R is an increasingly used statistical environment maintained by an international team of developers. The course introduces the basic concepts of the statistical environment R. During the course, students will use RStudio, which is an integrated development environment (IDE) to work with R. The course covers data management, computing descriptive statistics, and creating plots.
Requirements and Selection
Entry requirements
For admission to the course, the applicant has to be registered as a doctoral student in the third cycle or have a doctoral degree.
Selection
This is a third-cycle course within the school of R-QRM Register-based Quantitative Research Methods in Education. Both doctoral students and university lecturers with a PhD are welcome.
The number of participants is limited to 15. Priority will be given to doctoral students with an educational sciences focus, secondly supervisors for doctoral students with a focus on educational science research and thirdly doctoral students and researchers from other fields with an interest in quantitative designs and analyses. The course is open to Swedish and international participants.
Educational partnership
Collaborating Departments
Department of Education and Special Education (department in charge), University of Gothenburg, in collaboration with Department of Applied Educational Science, Umeå University, Uppsala University, Stockholm University.
Other information
You need to confirm in your motivation that you fulfil the course requirements.
If you are applying as a post-doc, you still need to use the application form as if you were a doctoral student. Please state in your motivation if you are a post-doc.
Technical equipment
To participate in the course, access to own computer/laptop is needed together with computer accessories for online communication (camera, headphones, mic). Please install R before the first campus day.
Course syllabus
RQRM250
Reading and reference list
Reading and reference list for the course
Department
Department of Education and Special Education
Subject
Educational Science
Type of course
Method course
Research School/Graduate School
R-QRM: Register-based Quantitative Research Methods in Education
Keywords
kvantitativa forskningsmetoder, pedagogik, utbildningsvetenskap, Quantitative Research Method , Educational research, Education, Register, Register-data, Registerdata