SOS9009 - Advanced statistical methods
This course cover selected topics in statistical methods and research workflow related to statistical analysis. The topics covered are typically not included in statistical methods courses at the Master’s level,
The course will consist of three modules, each taught through a two-day workshop. Not all modules are included each semester the course is taught. Students’ preferences is accommodated as far as possible in the module selection.To help us choose modules, we invite those interested in participating to indicate their preferences for which modules to include. Ivitations are going to be sent out during the Autumn semester to all Ph.D.-students at the Departmetn of Sociology and Human Geography, University of Oslo.
We will use R and/or Stata as the main statistical tools. This decision is made independently for each module. Language of instruction is english, unless all students have a sufficient command of Norwegian.
Potential course modules:
- Research designs for causal inference: instruments and discontinuities
- Introduction to reproducible research using R and RMarkdown
- Event history analysis: durations and intensities as dependent variables
- Is signifiance testing significant (p<0.05)? A discussion module.
- Panel data: fixed and random effects
- Quantile regression
- Multivariate data redux: Factor analysis and principal component analysis
The learning outcome of the course is mastery of a suite of methods and workflow styles that will enable the student to produce several new statistical analyses and correctly and efficiently present the results from those analyses.
The course is available for Ph.D. candidates at the Department of Sociology and Human Geography. In case there are open places, Ph.D. candidates in sociology and geography from other universities and advanced Master’s level students may be admitted. Maximum enrollment is 20 students.
Ph.D.-students at the Department of Sociology and Human Geography register for the course in Studentweb.
Participants outside the Department of Sociology and Human Geography and Master-students shall fill out this application form.
The application deadline is four weeks prior the course.
Formal prerequisite knowledge
Participants must have a good working knowledge of basic statistics and linear regression analysis. Having completed SOS4020 or equivalent is sufficient preparation for the course.
5 credits overlap with SGO9009 in the same semester.
Credit overlap otherwise will be determined semester by semester, as the content of the course varies over semesters.
Each module is taught separately as a two-day workshop. Readings associated with each module will be distributed several weeks ahead of the module teaching dates. Some modules will be taught by external teachers.
For dates for the next Spring semester, see the semester page.
Each module requires active class participation, readings, and submission of a short assignment. To receive a Pass grade, the student must complete the requirements all three modules. 5 ECTS credits is awarded only when all three modules are completed.
Grades are awarded on a pass/fail scale. Read more about the grading system.