ASOK15641U Applied Multilevel Analysis: Explaining Xenophobia and Racism
MA Research Methodology and Practice (MSc Curriculum 2015)
Course package (MSc 2015):
Welfare, inequality and mobility
Knowledge, organisation and politics
Culture, lifestyle and everyday life
Credit students must be at master level
BA-Undergraduates from foreign countries (exchange students) can
sign up for this course
Description:
Sociology is the study of how human attitudes and behavior are
shaped by the social environment and how vice versa how
the social environment emerges from human action. The investigation
of context effects, where an environmental feature (e.g., a
characteristic of a neighborhood or country) affects processes at a
lower level (e.g., that of the individual), is therefore central to
the discipline. This is also true for the topics of immigrant
integration and xenophobic reactions of natives to immigration. For
example: Is ethnic residential segregation hampering immigrant
integration, as many politicians claim, or rather furthering it, as
Segmented Assimilation Theory suggests? Are natives who are exposed
to immigrants more accepting of ethnic minorities, as Contact
Theory has it, or rather more xenophobic, as Group Threat Theory
implies?
In recent decades, scholars have increasingly examined such context effects using quantitative statistical analysis. In this course, we will discuss sociological theory and research on the contextual sources of immigrant integration and natives’ xenophobia, and you will learn how to conduct statistical multilevel analyses of such context effects yourself. In other words, this is an introduction to multilevel analyses, applied to the topic of immigrant integration and natives’ xenophobia.
Knowledge:
- What are the key theories on contextual sources of immigrant integration, and which dimension of integration (e.g. education, social contacts) do they focus on?
- What are the key theories on contextual sources of xenophobia.
- What are widely-held criticisms of these theories?
- What is the most recent empirical evidence on these theories?
Skills:
- Students will be able to conduct statistical multilevel analyses with Stata or R.
- Students will be able to apply contemporary theories to pose state-of-the art research questions on context effects on immigrant integration and xenophobia.
- Students will be able to analyze the European Social Survey.
Competences:
- Students will increase their analytical, methodological, and logical cognitive capacities.
- Students will be able to assess (i.e., judge the theoretical and methodological quality of) multilevel analyses (also beyond the specific topic of this class).
- Students will be able to assess the theoretical soundness of claims about (contextual sources of) immigrant integration and xenophobia.
Gelman A and Hill J (2007) Data Analysis Using Regression and Multilevel/Hierarchichal Models. Cambridge: Cambridge University Press.
Snijders TAB and Bosker RJ (2012) Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. London: Sage.
Apart from these two books, readings are comprised primarily of peer-reviewed journal articles. The syllabus will consist of roughly 750 pages of reading.
- Category
- Hours
- Exam
- 30
- Lectures
- 28
- Preparation
- 148
- Total
- 206
I give structured feedback to student presentations, and the final paper. Moreover, we will systematically use student peer-feedback
Registration deadline for courses is June 1st for
Autumn semester and December 1st for Spring semester.
Registration deadline for Summer school is June 1st.
The ordinary period for registration for Summer courses is from
November 15th to December 1st.
If the course is full after this period, it will NOT be offered for
registration again, in the extra period for registration from May
15th to June 1st.
When registered you will be signed up for exam.
International exchange students must sign up by filling in an
application
form:
course registration.
Credit students: klik her
- Credit
- 7,5 ECTS
- Type of assessment
- PortfolioIndividual or group.
A portfolio assignment is defined as a series of short assignments during the course that address one or more set questions and feedback is offered during the course. All of the assignments are submitted together for assessment at the end of the course. The portfolio assignments must be no longer than 10 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
Students must be enrolled under MSc Curriculum 2015 to take this exam.
Credit students must be at Master level.
Exchange students can be at both bachelor and master 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
Written take-home essay with NEW formulated questions
Individual/group.
A written take-home essay is defined as an assignment that addresses one or more NEW 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 10 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.
Criteria for exam assesment
Please see the learning outcome
Course information
- Language
- English
- Course code
- ASOK15641U
- Credit
- 7,5 ECTS
- Level
- Full Degree MasterFull Degree Master choice
- Duration
- 1 semester
- Placement
- Autumn
- Schedule
- See timetable
- Study board
- Department of Sociology, Study Council
Contracting department
- Department of Sociology
Contracting faculty
- Faculty of Social Sciences
Course Coordinators
- Merlin Schaeffer (mesc@soc.ku.dk)
Lecturers
Merlin Schaeffer, e-mail: mesc@soc.ku.dk