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Utbildnings- och kultursociologi
Sociology of Education and Culture at Uppsala University
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Utbildnings- och kultursociologi
Sociology of Education and Culture at Uppsala University
URL of this page is www.skeptron.uu.se/ broady/sec/k-22.gda.htm
Graduate course
(forskarutbildningskurs), Nov–Dec. 2022
Intensive lectures and workshops
at Campus Gotland during the week 14-18 Nov 2022,
followed by individual work with course assignments
Arranged by SEC (Sociology of Education and Culture), Uppsala University
General information
Course coordinators and teachers
On the French guest teachers
Admission
Schedule, intensive week 14-18 Nov 2022
Course material to be downloaded
Course material from previous courses
Data set for the exercises
Literature
Time: 14 Nov. – Friday 18 Nov. 2022, i.e. five full days. The first two and a half day introductory, the last days more advanced.
Afterwards there will be a period for completion of exam assignments.
Location: Uppsala university, Campus Blåsenhus, von Kraemers allé 1.
Language: English
This course gives a general introduction to basic mathematics of geometrical data analysis, comprising of, for example, multiple correspondence analysis and Euclidean cluster analysis. The course will also exemplify and discuss how these methods can be applied to studies in Social Sciences and Humanities.
The course is offered to researchers, PhD-students and Master students.
Also those who have attended our earlier courses on Geometric Data Analysis (GDA) and correspondence analysis are welcome to participate in this one, and especially the latter part. New stuff will probably be offered.
Course materials will be available at this web page.
Each participant is supposed to bring a laptop with the statistical programme R and SPAD (when needed, you will get a trial version for the course a few days in advance) installed. Make sure that you have some amount of disk space available. If this causes difficulties, please contact the course coordinators in advance..
We recommend the use of the most recent version of the SPAD software,
see http://www.coheris.com/produits/analytics/logiciel-data-mining/
This version
includes special features (i.a. specific MCA as well as tools for the
construction of concentration and confidence ellipses) developed by Brigitte
Le Roux et al.
Before the start of
the course the participants will receive information on how to download and install SPAD on their laptops. For more information
please contact Mikael Börjesson <mikael.borjesson@edu.uu.se>.
Course coordinators:
Mikael Börjesson <mikael.borjesson@edu.uu.se>, Prof. in Sociology of education, Uppsala University. + 46 (0) 73 762 70 25.
Ashley Haru <ashley.haru@edu.uu.se>, project coordonator, Uppsala University. + 46 (0) 76 778 82 98.
Swedish teachers:
Mikael Börjesson
Tobias Dalberg <tobias.dalberg@edu.uu.se>, PhD in Sociology of education, Uppsala University
Invited French guest teachers:
Brigitte Le Roux, CEVIPOF/CNRS (Centre de recherches politiques de Sciences Po),
and Université René Descartes, Paris — Web site
Philippe Bonnet, Université René Descartes, Paris
Frédéric Lebaron, Professeur, le département de sciences sociales, l’Ecole normale supérieure Paris-Saclay (ENS Cachan). — Web site
Lucas Page Pereira, Postdoctoral researcher, l’Ecole normale supérieure Paris-Saclay
The mathematician Brigitte Le Roux is an associate researcher at CEVIPOF/CNRS (Centre de recherches politiques de Sciences Po), and also since many years affiliated to the laboratory of Applied Mathematics (MAP5/CNRS and l'Université Paris Descartes).
She did complete her doctoral dissertation with J.-P. Benzécri and has written several books with the late Henry Rouanet. Among the books written by Brigitte Le Roux and Henry Rouanet are the standard work Geometric Data Analysis. From Correspondence Analysis to Structured Data Analysis (Kluwer, 2004) and Multiple Correspondence Analysis (Sage, 2010)
Today Brigitte Le Roux is world leading specialist in the French "analyse des données" tradition. This statistical tradition, founded by Jean-Paul Benzécri in the 1960's and the 1970's, has in recent years often been called "Geometric Data Analysis." It includes methods such as Correspondence Analysis (CA), Multiple Correspondence Analysis (MCA) and versions of Euclidean Classification. In the social sciences the most well-known application is multiple correspondence analyses of the distribution of individuals and properties within "social fields" in Bourdieu's sense, but the tradition has much more to offer.
Brigitte Le Roux and Henry Rouanet have not only been the most prominent trustees of Jean-Paul Benzécri's scholarly heritage. They have also made significant contributions of their own—such as "specific multiple correspondence analysis" and the visualisation programme EyeLID—that are used in current research, particularly by social scientists inspired by the works by Pierre Bourdieu and his collaborators. Brigitte Le Roux and Henry Rouanet were among Pierre Bourdieu's close collaborators during his last years and did for example take part in the Bourdieu's last empirical study, on the French field of publishers (reported in Actes, no 126-127, March 1999) where he for the first time made use of the specific multiple correspondence analysis. Outside of France, Brigitte Le Roux and Henry Rouanet have taken part in studies on lifestyles in the United Kingdom, in the Norwegian study on power and in a series of studies on Swedish fields of higher education and culture.
Philippe Bonnet, CNRS social psychologist and statistician at the Cognitive Psychology and Neuropsychology Laboratory (LPNCog) of l'Université René Descartes, Paris. For many years a close collaborator of M. Henry Rouanet and Mme Brigitte Le Roux.
Frédéric Lebaron. Depuis septembre 2016 professeur à l’Ecole normale supérieure Paris-Saclay (ENS Cachan), où il dirige le département de sciences sociales. Il est enseignant à Sciences-Po Saint-Germain-en-Laye depuis septembre 2014 et à l'université Paris-Sorbonne depuis septembre 2017. Il est membre de l'IDHES-Cachan , associé au laboratoire Printemps (UMR CNRS-UVSQ 8085) et au CURAPP-ESS. Frédéric Lebaron a été président de l’Association française de sociologie entre juillet 2015 et juillet 2017. Il est toujours membre du Comité exécutif de l'association.
Lucas Page Pereira holds a PhD in sociology (ENS Paris-Saclay, 2021) on the measurement of social inequalities in Brazil and the “class blindness” of some scientific categories used by public statistics in Brazil. His PhD dissertation was granted the Alain Desrosières Prize 2022 from the French Statistical Society (SFdS) ; and the Prize for the best PhD dissertation on Brazil 2022 from the Association of Brazilianists in Europe (ABRE). He is currently a post-doctoral researcher in the H2020 project INVENT (European Inventory of Societal Values of Culture as Basis for Inclusive Cultural Policies) on the diversity of conceptions of "culture" and on inequalities in terms of cultural practices. His current research is organized along three main axes, namely social stratification in cross-national context, sociology of quantification, and epistemology & history of sociological thought.
To apply for admission send an e-mail to mikael.borjesson@edu.uu.se.
Attach information on your credentials and on your motives for taking the course.
Restricted number of places.
Monday Nov. 7, room 21:240
11.15-12.00 INTRODUCTION: Mikael Börjesson
Monday Nov. 14, room 21:240
10.15-12.00 STATISTICAL LECTURE. Brigitte Le Roux: What is Geometric Data Analysis (GDA)? Basic Geometric Notions (cloud of points, mean point, variance, standard deviation). Principal Axes of a Euclidean Cloud.
12.00-13.15 LUNCH
13.15-15.00 WORK SESSION: SPAD/R.
15.00-15.30 COFFEE BREAK
15.30-17.00 SOCIOLOGICAL LECTURE. Tobias Dalberg: Distribution of assets at the pinnacle of scholarship: A GDA of Swedish mid-20th century humanists and social scientists.
Tuesday Nov. 15, room 12:128 (before noon) and 11:131 (afternoon)
10:15-12.00 STATISTICAL LECTURE. Brigitte Le Roux: What is MCA (Multiple Correspondence Analysis)?
12.00-13.15 LUNCH
13.15-15.00 WORK SESSION: SPAD/R.
15.00-15.30 COFFEE BREAK
15.30-17.00 SOCIOLOGICAL LECTURE. Ylva Bergström: Spaces of Political Position-Takings.
Wednesday Nov. 16, room 21:135 (before noon) and 14:340 (afternoon)
10:15-12.00 STATISTICAL LECTURE. Brigitte Le Roux: Specific MCA, Class Specific Analysis and Introduction to Euclidean Clustering.
12.00-13.15 LUNCH
13.15-15.00 SOCIOLOGICAL LECTURE. Lucas Page Pereira: Social Anamorphosis: Social classes and social inequalities in Brazil in the 2000s.
15.00-15.30 COFFEE BREAK
15.30-17.00 WORK SESSION: SPAD/R
Thursday Nov. 17, room 11:128
10:15-12.00 STATISTICAL LECTURE. Brigitte Le Roux: Structured Data Analysis.
12.00-13.15 LUNCH
13.15-15.00 WORK SESSION: SPAD/R
15.00-15.30 COFFEE BREAK
15.30-17.00 SOCIOLOGICAL LECTURE. Frédéric Lebaron: Bourdieu and Statistics
Friday Nov. 18, room 13:029
10.15-12.00 STATISTICAL LECTURE AND SOCIOLOGICAL LECTURE. Brigitte Le Roux & Philippe Bonnet: Inductive Data Analysis.
12.00-13.15 LUNCH
13.15-14.30 SOCIOLOGICAL LECTURE. Ida Lidegran: High-Octane Educational Capital
14.30-15.00 CONCLUSION
> gda-1809-Clustering.pdf
> gda-1809-Cognitive Study_2018_09_20.spad
> gda-1809-DataBase.sda
> gda-1809-Exam assignment-GDA-Fall 2018.pdf
> gda-1809-inductive4pages.pdf
> gda-1809-LEISURE.xls
> gda-1809-LEISURE. Leisure_data.pdf
> gda-1809-LEISURE3_2018_09_17.spad
> gda-1809-SDA.pdf
> gda-1809-Stat_BLR_1-2.pdf
> gda-1809-Taste_Example.xls
Collection of slides by Brigitte Le Roux, used during the GDA course 12–18 Sept. 2016 (pdf-format, 118 slides)
The following material was created by Brigitte Le Roux for the Uppsala course on GDA in September 2012:
Geometric Data Analysis (GDA). I. Introduction
Geometric Data
Analysis (GDA). II. Principal Axes of a Euclidean Cloud
Geometric Data Analysis
(GDA). III. Multiple Correspondence Analysis (MCA)
The following material was created Brigitte Le Roux and Henry Rouanet for the Uppsala course on Correspondence Analysis in September 2006.
Geometric Data Analysis:
I - Overview of
Geometric Data Analysis
II - Basic Notions
of Geometric Data Analysis
III - Introduction to Multiple Correspondence Analysis (MCA)
IV - Introduction to
Euclidean Clustering
V - Structured Data
Analysis
VI - Inductive Data
Analysis
Philippe Bonnet & Brigitte Le Roux: Geometric
Data Analysis. Application to a Racism Survey
Brigitte le Roux, Mikael Börjesson, Philippe Bonnet: Performing Multiple Correspondence Analysis (MCA) USING SPAD 1 (VERSION 6.5)
See also the paper publication Le Roux, Brigitte & Henry Rouanet: Multiple Correspondence Analysis, Sage, QASS n°163, CA: Thousand Oaks, 2010, and Brigitte Le Roux's website
For some of the exercises during the course several
datasets will be used (Culture example, Taste example). These datasets are used
in examples in the book Le Roux & Rouanet, Geometric Data Analysis,
op.cit., 2004, or Le Roux & Rouanet, Multiple
Correspondence Analysis, op.cit., 2010.
"Taste example": dataset in Excel format (200 KB)
"Culture
example": dataset in SPSS format (56 KB)
"Culture
example": dataset in SPAD format (137
KB)
Statistics
Le Roux, Brigitte & Henry Rouanet: Multiple Correspondence Analysis. London: Sage, 2010
Le Roux, Brigitte & Henry Rouanet: Geometric Data Analysis. From Correspondence Analysis to Structured Data Analysis. Dordrecht: Kluwer Academic, cop. 2004
References
Benzécri, J.-P.: L'analyse des données 2 L'analyse des correspondances. Paris: Dunod, 1973
Benzécri, J.-P.: Correspondence Analysis Handbook. New York: Marcel Dekker, 1992
Lebart, Ludovic, Alain Morineau & Kenneth M. Warwick: Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices. New York: Wiley, 1984.
Ludovic Lebart, Salem, André & Berry Lisette: Exploring Textual Data, Springer, 1997/1998, ISBN: 978-90-481-4942-1 (Print) 978-94-017-1525-6 (Digital)
Le Roux, Brigitte: Analyse géométrique des données multidimensionnelles, Dunod, Paris, 2014.
Sociological Applications
Bergström, Ylva & Tobias Dalberg: "Political Position-taking. The Case of Young Citizens in a Swedish Rural Mining District", Praktiske Grunde. Nordisk Tidsskrift for Kultur- og Samfundsvidenskab, No 4 2012, pp. 7-22.
Börjesson, Mikael, Donald Broady, Brigitte Le Roux, Ida Lidegran & Mikael Palme: "Cultural Capital in the Elite Subfield of Swedish Higher Education", Poetics. International Review for the Theory of Literature, 2016. http://dx.doi.org/10.1016/j.poetic.2016.02.004
Ekelund, Bo & Mikael Börjesson: "Comparing Literary Worlds : An Analysis of the Spaces of Fictional Universes in the Work of Two US Prose Fiction debut cohorts, 1940 and 1955, Poetics. International Review for the Theory of Literature, vol. 33 (2005) No 5-6 (October- December 2005)
Denord, Francois, Johs. Hjellbrekke, Olav Korsnes, Frédéric Lebaron & Brigitte Le Roux: "Social Capital in the Field of Power. The Case of Norway", Sociological Review (Oxford), Vol. 59 (2011) No 1 2009, pp. 86-108.
Hjellbrekke, Johs; et. al.: "The Norwegian Field of Power Anno 2000", European Societies (Taylor & Francis, London), Vol. 9, No 2 2007, pp. 245-273.
Lebaron, Frédéric: "Economists and the Economic Order : The Field of Economists and the Field of Power in France", European Societies (Taylor & Francis, London), Vol. 3, nr. 12001, pp. 91-110.
Lebaron, Frédéric & Brigitte Le Roux. (eds): La méthodologie de Pierre Bourdieu en action: espace culturel, espace social et analyse des données. Dunod, Paris, 2015.
Le Roux, Brigitte; Henry Rouanet, Mike Savage & Alan Warde: "Class and Cultural Division in the UK", Sociology. The Journal of the British Sociological Association, Vol. 42 (2008), pp. 1049-1071.
Melldahl, Andreas & Mikael Börjesson: "Charting the Social Space. The Case of Sweden in 1990, pp. 135-156 in Coulangeon, Philippe & Julien Duval (eds.): The Routledge companion to Bourdieu’s 'Distinction'. London: Routledge, 2015.
Rouanet, Henry, Werner Ackermann & Brigitte Le Roux: "The Geometric Analysis of Questionnaires. The Lesson of Bourdieu's La Distinction", BMS. Bulletin of Sociological Methodology / Bulletin de Méthodologie Sociologique (Sage Publications), Vol. 65, No. 1 2000, pp. 5-18
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. See Chapter 3: Le Roux, Brigitte and Henry Rouanet: "Geometric Analysis of Individual Differences."
Le Roux, Brigitte and Henry Rouanet: Geometric Analysis of Individual Differences, 2003, to be downloaded from EPGY (Educational Program for Gifted Youth), Stanford University, http://epgy.stanford.edu/research/ (36 pages)
And other articles (100 pages).
URL of this page is www.skeptron.uu.se/broady/sec/k-22.gda.htm
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