UV9202B – Basic Course in Quantitative Research Methodology. Part B.
Schedule, syllabus and examination date
This course will focus on the basics of quantitative research. It covers general themes relevant for all quantitative research, but with an emphasis on issues related to robustness and quality. A core theme will be how we can identify effects and predictions and how to test them empirically. The course is structured around two overarching topics, namely experimental research and observational studies. For experimental studies, the course will cover different design types and give applied examples concerning how to analyze experimental data (e.g. how to measure intervention effects, how to control for baseline differences, how to use effect sizes etc.). For observational studies, the course will focus on longitudinal studies and explore examples on how to design such studies and analyze longitudinal data (e.g. how to measure stability, change and development).
The Basic Course in Quantitative Research Methodology comprises two parts, A and B. Part A provides an overview of the above mentioned topics, while Part B is to extend this to more advanced topics with practical applications. For candidates specializing in qualitative methods, taking part A of the course will be sufficient.
Part B draws on the theoretical and methodological concepts of Part A, and extends the discussion to more advanced topics with practical examples and hands-on activities.
Upon completion of Part B, the students will have, in addition to the above, a basic understanding of more advanced study designs and related analyses. They should also acquire practical experience in applying some common analyses and learning about their strengths and weaknesses.
PhD candidates at the Faculty of Educational Sciences will be given priority, but it is also possible for others to apply for the course. Applicants must have at least a Master's degree.
Candidates admitted to the PhD Programme at the Faculty of Educational Sciences should apply through Studentweb
Other applicants may apply using this application form
Registration deadline: September 17, 2021.
Formal prerequisite knowledge
Participation in part A is required for participation in part B.
The course will include lectures and assignments. Active contributions from the students in the form of discussion and task completion are expected.
Students will be asked to draft an outline of their own research design and types of data, and present and interpret an example analysis using either their own data or data provided in the course.
You will find the timetable and literature on the semester webpage for this course.
5 credit points for course participation (Part A + Part B), approved written assignment for Part A and practical exercises. 80% attendance is required.
Language of examination
Grades are awarded on a pass/fail scale. Read more about the grading system.
Olga Mukhina (email@example.com)