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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-24.gda.htm
Graduate course
(forskarutbildningskurs), Nov–Dec 2024, 7,5 credits
Online course om Zoom, with a campus gathering in Uppsala 22–29 Nov,
followed by webinars and individual work with course assignments
Arranged by SEC (Sociology of Education and Culture), Uppsala University
The graduate course Geometric Data Analysis (GDA) 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 the Educational Sciences, the Social Sciences and the Humanities, and contains practical training in the art of performing Geometric Data Analysis with the softwares SPAD and R.
General information
Admission
Course coordinator and teachers
On the French guest teachers
Syllabus
Schedule
Course material to be downloaded
Course material from previous courses
Data set for the exercises
Literature
Time: Time: 11 Nov – 16 Dec 2024, followed by a period for completion of exam assignments.
Location: Online on Zoom, and 25–29 Nov at Uppsala university, Campus Blåsenhus, street address von Kraemers allé 1.
Language: English
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. 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 coordinator 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 the course coordinator Tobias Dalberg <tobias.dalberg@edu.uu.se>.
To apply for admission send an e-mail to Tobias Dalberg <tobias.dalberg@edu.uu.se>.
Attach information on your credentials and on your motives for taking the course.
Restricted number of places.
Course coordinator and main teacher:
Tobias Dalberg <tobias.dalberg@edu.uu.se>, PhD in Sociology of education, Uppsala University
Admin.:
Ashley Haru <ashley.haru@edu.uu.se>, project coordonator, Uppsala University, +46 (0) 76 778 82 98.
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
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 des universités à l’École normale supérieure Paris-Saclay, 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.
Syllabus for the graduate course “Geometric Data Analysis in the Educational Sciences”, 7,5 credits
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 educational sciences, the social sciences and the humanities.
After completion of the course students should be able to
• explain basic mathematical premises for geometric data analysis
• use statistical software for geometric data analysis
• carry out geometric data analyses based on empirical data and present the analysis in a proper way
• 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 educational sciences, 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.
Monday Nov. 11, Zoom
09.15-10.00 INTRODUCTION. Tobias Dalberg
Monday Nov. 18, Zoom
09.15-10.00 SETTING UP SOFTWARE. Tobias Dalberg
Monday Nov. 25, Uppsala, Campus Blåsenhus, room 12:010
10.15-12.00 STATISTICAL LECTURE. Brigitte Le Roux: What is Geometric Data Analysis (GDA)? Basic Geometric Notions, dimensionality reduction and principal axes of a 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
Tuesday Nov. 26, Uppsala, Campus Blåsenhus, room 12:004
10:15-12.00 STATISTICAL LECTURE. Brigitte Le Roux: What is Geometric Data Analysis (GDA)? Basic Introduction to CA, MCA and specific MCA.
12.00-13.15 LUNCH
13.15-15.00 WORK SESSION: SPAD.
15.00-15.30 COFFEE BREAK
15.30-16.00 PRESENTATION OF PHD PROJECTS.
16.00-17.00 WORK SESSION. GDA in R. Tobias Dalberg
Wednesday Nov. 27, Uppsala, Campus Blåsenhus, room 11:131
10:15-12.00 STATISTICAL LECTURE. Brigitte Le Roux: Class Specific Analysis, Guide for interpreting MCA and Introduction to Structured Data Analysis.
12.00-13.15 LUNCH
13.15-15.00 WORK SESSION: SPAD
15.00-15.30 COFFEE BREAK
15.30-17.00 WORK SESSION. GDA in R. Tobias Dalberg
Thursday Nov. 28, Uppsala, Campus Blåsenhus, room 12:229
10:15-12.00 STATISTICAL LECTURE. Brigitte Le Roux: Geometric clustering: principles and guide for interpretation.
12.00-13.15 LUNCH
13.15-15.00 WORK SESSION: SPAD
15.00-15.30 COFFEE BREAK
15.30-17.00 WORK SESSION. GDA in R. Tobias Dalberg
Friday Nov. 29, Uppsala, Campus Blåsenhus, room 12:004
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: SPAD/R.
14.30-15.00 CONCLUSION
Monday Dec. 2, Zoom
11.15-12.00 WEBINAR. Tobias Dalberg
Monday Dec. 9, Zoom
11.15-12.00 WEBINAR. Tobias Dalberg
Monday Dec. 16, Zoom
11.15-12.00 WEBINAR. Tobias Dalberg
Slides
Philippe Bonnet, Introducing SPAD software, 20 Nov 2023 <gda-231120-bonnet-SPAD-introduction-slides.pdf>
Brigitte Le Roux, What is Geometric Data Analysis (GDA), 20 Nov 2023 <gda-231120-le-roux-what-is-gda-slides.pdf>
Brigitte Le Roux, Multiple Correspondence Analysis (MCA), 21 Nov 2023 <gda-231121-le-roux-multiple-correspondence-analysis-slides.pdf>
Brigitte Le Roux, Structured Data Analysis, 22 Nov 2023 <gda-231122-le-roux-structured-data-analysis-slides.pdf>
Scripts and data sets for exercises
> gda-231120-hair_eyecolor.txt
> gda-231121-pca_hsbdemo-example.R
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)
From previous courses:
> 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
Statistics
Le Roux, Brigitte & Henry Rouanet: Multiple Correspondence Analysis. London: Sage, 2010. Mandatory.
Le Roux, Brigitte & Henry Rouanet: Geometric Data Analysis. From Correspondence Analysis to Structured Data Analysis. Dordrecht: Kluwer Academic, cop. 2004. Mandatory.
Hjellbrekke, Johs., Multiple correspondence analysis for the social sciences, London: Routledge, 2018.
References/Referensverk
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.
Le Roux, Brigitte: Analyse géométrique des données multidimensionnelles, Dunod, Paris, 2014.
Sociological Applications
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
Dalberg, Tobias. ‘Structure and Change in the Field of Mid-Twentieth Century Human Scientists in Sweden’. Empirical Investigations of Social Space, Springer, 2019, pp. 285–303.
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.
Forsberg, Håkan: “School competition and social stratification in the deregulated upper secondary school market in Stockholm”, British Journal of Sociology of Education, 39:6, 2018, 891-907.
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.
Le Roux, Brigitte and Henry Rouanet: “Geometric Analysis of Individual Differences.” Chapter 3 in 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.
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.
Lidegran, Ida, Börjesson, Mikael, Broady, Donald, & Bergström, Ylva. "High-Octane Educational Capital": The Space of Study Orientations of Upper Secondary School Pupils in Uppsala". In Empirical Investigations of Social Space, Springer, 2019.
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-24.gda.htm
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