Advanced Quantitative Methods
Course content
The course introduces students to advanced regression analysis and its application in sociological research with a special focus on causal analysis. The student acquires knowledge of
· Multiple linear regression,
· Interaction effects,
· Selection of control variables for regression models,
· OLS Assumptions,
· Regression analysis of experimental studies,
· Regression analysis of natural experiments using instrument variables and regression discontinuity designs.
The student must be able to explain these topics. The student must be able to further explain the logic behind the use of regression analysis for the estimation of causal effects. Finally, the student must be able to reflect on the possibilities and limitations of the use of regression analysis in sociological research.
Compulsery course on the 3rd semester BSc in
Sociology.
Credit and exchange students must be at bachelor
level.
KNOWLEDGE:
The course introduces the student to regression analysis and its
application in sociological research. The student acquires
knowledge of
- Multiple linear regression,
- Interaction effects,
- Statistical tests and their use in regression analysis,
- OLS assumptions behind regression analysis,
- Selection of control variables,
- Regression analysis of experimental studies,
- Regression analysis of natural experiments using
SKILLS:
The course gives the student the opportunity for practical
mastery of regression analysis in R. Students will be able to:
- Perform multiple regression analysis,
- Interpret regression coefficients,
- Use statistical tests to test hypotheses,
- Select relevant control variables,
- Specify interaction effects,
- Apply instrument variable regression,
- Apply regression discontinuity designs,
- Perform model checks,
- Present and communicate results based on regression analysis in relation to a given problem,
- Critically evaluate its empirical results.
KOMPETENCE:
After completing the teaching, the student must be able to:
- Acquire further advanced quantitative methods such as factor analysis, multilevel models or panel data analysis.
- Translate his knowledge and skills into advanced quantitative analyses for research and consulting.
- Be able to plan and carry out reports or reports involving regression analysis.
Lecture, tutorial, and regular statistics tasks using R.
De Veaux, Richard, Paul F. Velleman, and David E. Bock. 2016.
Stats. Data and Models. Boston: Pearson & Addison Wesley.
Angrist, Joshua D., and Jörn-Steffen Pischke. 2014. Mastering
’Metrics: The Path from Cause to Effect. Princeton University
Press.
Students must have mastered “Basic Statistics”.
Requirement: Own laptop with running and updated versions of RStudio and R.
We will make use of tutorials and regular Peer feedback.
Self Service at KUnet
Registration deadline for courses is:
June 1st for Autumn semester
December 1st for Spring semester.
When registered you will be signed up for exam.
Sociology Student (from KU):
Registration online at KUnet
Anthropology Students (from KU):
You must register as credit student and have a pre-approval.
Find more information
at www.soc.ku.dk under
Uddannelse -> Meritstuderende.
International exchange students:
You must sign up by filling in an application form. Find it
at www.sociology.ku.dk.
Credit students:
Find more information
at www.soc.ku.dk under
Uddannelse -> Meritstuderende.
- ECTS
- 7,5 ECTS
- Type of assessment
-
Written examination
- Type of assessment details
- Written assignment. Individual/group.
The exam is intergrated with the course Welfare, inequality and social mobility. A written take-home essay is defined as an assignment that addresses one or more questions. The exam is based on the course syllabus, i.e. the literature set by the teacher. The written take-home essay must be no longer than 15 pages. For group assignments, an extra 5 pages is added per additional student.
Further details for this exam form can be found in the Curriculum and in the General Guide to Examinations at KUnet. - Exam registration requirements
-
Sociology students must be enrolled under BSc Curriculum 2016 to take this exam.
Credit students must be at bachelor level. - Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
- Exam period
-
Find more information on your study page at KUnet.
Exchange students and Danish full degree guest students please see the homepage of Sociology; http://www.soc.ku.dk/english/education/exams/ and http://www.soc.ku.dk/uddannelser/meritstuderende/eksamen/
- Re-exam
-
If the re-exam is taken during the ordinary exam period: see ordinary exam form
If the re-exam is taken during the re-exam period:
Written take-home essay based on one or more NEW formulated questions.
Abovementioned applies to course registrations in Spring 2023 and onward.
If you have been registered for the course before Spring 2023, please write to the study administration: soc-studieadm@soc.ku.dk.
Mandatory Course
NB! All exams (both ordinary and re-exams) will take place at the end of the spring semester only, as the course is not offered in the fall.
Criteria for exam assessment
Please see the learning outcome.
- Category
- Hours
- Lectures
- 42
- Preparation
- 104
- Exam Preparation
- 60
- English
- 206
Kursusinformation
- Language
- English
- Course number
- ASOB16111U
- ECTS
- 7,5 ECTS
- Programme level
- Bachelor
- Duration
-
1 semester
- Placement
- Autumn
- Schedulegroup
-
See timetable
- Capacity
- Vejl. 110
- Studyboard
- Department of Sociology, Study Council
Contracting department
- Department of Sociology
Contracting faculty
- Faculty of Social Sciences
Course Coordinator
- Merlin Schaeffer (4-746c7a6a477a766a35727c356b72)
Teacher
Merlin Schaeffer
Er du BA- eller KA-studerende?
Kursusinformation for indskrevne studerende