Syllabus for Geometric Data Analysis
Geometrisk dataanalys
Syllabus
- 7.5 credits
- Course code: 4UK099
- Education cycle: Second cycle
-
Main field(s) of study and in-depth level:
Sociology of Education A1N
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
First cycle
- G1N: has only upper-secondary level entry requirements
- G1F: has less than 60 credits in first-cycle course/s as entry requirements
- G1E: contains specially designed degree project for Higher Education Diploma
- G2F: has at least 60 credits in first-cycle course/s as entry requirements
- G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
- GXX: in-depth level of the course cannot be classified
Second cycle
- A1N: has only first-cycle course/s as entry requirements
- A1F: has second-cycle course/s as entry requirements
- A1E: contains degree project for Master of Arts/Master of Science (60 credits)
- A2E: contains degree project for Master of Arts/Master of Science (120 credits)
- AXX: in-depth level of the course cannot be classified
- Grading system: Fail (U), Pass (G), Pass with distinction (VG)
- Established: 2010-10-11
- Established by: The Faculty Board of Educational Sciences
- Revised: 2017-11-09
- Revised by: The Department Board
- Applies from: Autumn 2018
-
Entry requirements:
Bachelor's degree corresponding to at least 180 credits, including at least 90 credits from disciplines pertaining to social sciences or the humanities.
- Responsible department: Department of Education
Decisions and guidelines
The course is part of the Master's Programme in Sociology of Education. The course can also be offered as an elective course.
Learning outcomes
The course provides a general introduction to the mathematical basics of geometrical data analysis and an understanding of how these methods can be applied to studies in the social sciences and the humanities
After completion of the course students should be able to
- explain and present basic mathematical premises for geometric data analysis
- use statistical software for geometric data analysis
- carry out geometric data analyses based on empirical data
- critically analyse to what studies geometric data analysis can be applied and in what ways geometric data analysis can be best used in specific examples
Content
- Basic mathematical premises for geometric data analysis
- Application of geometric data analysis
- Geometric data analysis in social sciences and humanities
Instruction
The course consists of lectures in mathematics and sociology and working sessions.
Assessment
The assessment is based on a written assignment which presents a geometric data analysis based on empirical data.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator.
Syllabus Revisions
- Latest syllabus (applies from Autumn 2018)
- Previous syllabus (applies from Autumn 2016)
- Previous syllabus (applies from Autumn 2010)
Reading list
Reading list
Applies from: Autumn 2018
Some titles may be available electronically through the University library.
Statistics
-
Le Roux, Brigitte;
Rouanet, Henry
Multiple correspondence analysis
London: Sage, c2010
Mandatory
-
Le Roux, Brigitte.;
Rouanet, Henry
Geometric data analysis : from correspondence analysis to structured data analysis
Dordrecht: Kluwer Academic, cop. 2004
Mandatory
References
-
Benzécri, J.-P.
L'analyse des données. : 2 L'analyse des correspondances ...
Paris: Dunod, 1973
Mandatory
-
Benzécri, J.-P.
Correspondence analysis handbook
New York: Marcel Dekker, cop. 1992
Mandatory
-
Lebart, Ludovic;
Morineau, Alain;
Warwick, Kenneth M.
Multivariate descriptive statistical analysis : correspondence analysis and related techniques for large matrices
New York: Wiley, cop. 1984
Mandatory
Sociological Applications
-
Praktiske Grunde : Nordisk Tidsskrift for Kultur- og Samfundsvidenskab
Bergström, Ylva and Tobias Dalberg: "Political Position-taking. The Case of Young Citizens in a Swedish Rural Mining District." Issue 4, 2012, pp. 7-22
Mandatory
-
Cultural Capital in the Elite Subfield of Swedish Higher Education
Börjesson, Mikael
Broady, Donald;
Le Roux, Brigitte;
Lidegran, Ida;
Palme, Mikael
Part of:
Poetics : international review for the theory of literatureMandatory
-
Ekelund, Bo;
Börjesson, Mikael
Comparing Literary Worlds : An Analysis of the Spaces of Fictional Universes in the Workk of Two US Prose Fition debut cohorts, 1940 and 1955
Part of:
Poetics : international review for the theory of literatureMandatory
-
Social Capital in the Field of Power : The Case of Norway
Denord, Francois;
Hjellbrekke, Johs;
Korsnes, Olav;
Lebaron, Frédéric;
Le Roux, Brigitte
Part of:
Sociological review (Oxford)Oxford: Blackwell, 1997-
vol. 59 (2011) nr. 1 s. 86-108Mandatory
-
Hjellbrekke, Johs;
et. al.,
The Norwegian Field of Power Anna 2000
Part of:
European societies.London: Taylor & Francis, 2002-
vol. 9 (2007) nr. 2 s. 245-273Mandatory
-
Lebaron, Frédéric
Economists and the Economic Order : The Field of Economists and the Field of Power in France
Part of:
European societies.London: Taylor & Francis, 2002-
vol. 3 (2001) nr. 1 s. 91-110Mandatory
-
Class and Cultural Division in the UK
Le Roux, Brigitte;
Rouanet, Henry;
Savage, Mike;
Warde, Alan
Part of:
Sociology : the journal of the British Sociological AssociationLondon: the Assoc., 1967-
vol. 42 (2008) s. 1049-1071Mandatory
-
Melldahl, A.;
Börjesson, Mikael
Charting the Social Space : The Case of Sweden in 1990
Part of:
The Routledge companion to Bourdieu’s 'Distinction'London: Routledge, 2015.
s. 135-156Mandatory
-
Rouanet, Henry;
Ackermann, Werner;
Le Roux, Brigitte
The Geometric Analysis of Questionnaires : The Lesson of Bourdieu's La Distinction
Part of:
BMS: Bulletin of Sociological Methodology / Bulletin de Méthodologie SociologiqueSage Publications,
vol. 65 (2000) nr. 1 s. 5-18Mandatory
-
Suppes, Patrick
Individual differences in online and computer-based learning : gifted and other diverse populations
Stanford, CA: Center for the Study of Language and Information, 2013.
Chpter 3: Le Roux, Brigitte and Henry Rouanet: "Geometric Analysis of Individual Differences."
Mandatory