This document is an historical remnant. It belongs to the collection Skeptron Web Archive (included in Donald Broady's archive) that mirrors parts of the public Skeptron web site as it appeared on 31 December 2019, containing material from the research group Sociology of Education and Culture (SEC) and the research programme Digital Literature (DL). The contents and file names are unchanged while character and layout encoding of older pages has been updated for technical reasons. Most links are dead. A number of documents of negligible historical interest as well as the collaborators’ personal pages are omitted.
The site's internet address was since Summer 1993 www.nada.kth.se/~broady/ and since 2006 www.skeptron.uu.se/.

URL of this page is www.skeptron.uu.se/broady/sec/k-18-gda.htm

Geometric Data Analysis

Graduate course (forskarutbildningskurs),  Sept–Oct. 2018
Intensive lectures and workshops at Campus Gotland during the week 17–21 Sept 2018,
followed by individual work with course assigments

Arranged by SEC (Sociology of Education and Culture), Uppsala University

TOC

» General information
» Course coordinators and teachers
»  On the French guest teachers
»  Admission
»  Schedule 17–21 September Campus Gotland
»  Course material to be downloaded
»  Course material from previous courses
»  Data set for the exercises
»  Literature

General information

Time: Monday 17 Sept. – Friday 21 Sept. 2018, 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: Visby, Campus Gotland (This campus is part of Uppsala University but situated on the island Gotland).

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 SPSS 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 and teachers

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

On the French guest teachers

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.

Admission

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.

Schedule, GDA course, intensive week at Campus Gotland, 17–21 Sept. 2018

Monday Sept. 17, room E44
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.
15.00-15.30 COFFEE BREAK
15.30-17.00 SOCIOLOGICAL LECTURE: Frédéric Lebaron: Bourdieu and Statistics.
17.00-17.30 PRESENTATION of participants’ own research.
18.00 RECEPTION

Tuesday Sept. 18, room B42
10:15-12.00 STATISTICAL LECTURE: Brigitte Le Roux: What is MCA (Multiple Correspondence Analysis) and Euclidean Clustering?
12.00-13.15 LUNCH
13.15-15.00 WORK SESSION: SPAD.
15.00-15.30 COFFEE BREAK
15.30-16.30 SOCIOLOGICAL LECTURE: Mikael Börjesson et al: Cultural capital in the elite subfield of Swedish higher education.
16.30-17.30 SOCIOLOGICAL LECTURE: Tobias Dalberg: Distribution of assets at the pinnacle of scholarship: A GDA of Swedish mid-20th century humanists and social scientists

Wednesday Sept. 19, room F14
10:15-11.15 STATISTICAL LECTURE: Brigitte Le Roux: Specific MCA and Class Specific Analysis (CSA)
11:15-12:00 WORK SESSION: SPAD
12.00-13.15 LUNCH
13.15-15.00 SOCIOLOGICAL LECTURE: Frédéric Lebaron and Philippe Bonnet: Class Specific Analysis. Methodological and sociological reflections with an example, the European Judicial Space
15.00-15.30 COFFEE BREAK
15.30-17.30 WORK SESSION: Work with own data
19.00 DINNER AT BAGERIET/NUNNAN, STORA TORGET

Thursday Sept. 20, room F14
10:15-12.00 STATISTICAL LECTURE: Brigitte Le Roux: Structured Data Analysis.
12.00-13.15 LUNCH
13.15-15.00 WORK SESSION: SPAD
15.00-15.30 COFFEE BREAK
15.30-17.30 WORK SESSION. Work on own data

Friday Sept. 21, room E44 and B42
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 WORK SESSION: Work on own data
14.30-15.00 CONCLUSION

Course material to be downloaded

»   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

Course material from previous GDA courses

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

Data set for the exercises

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)

Literature

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 http://www.skeptron.uu.se/broady/sec/k-18-gda.htm
This HTML version created by Donald Broady. Last updated Oct 2018
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This page is an historical remnant, part of  Skeptron Web Archive