Introduction to Correspondence Analysis

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ASC 2014 Satellite Event 

Introduction to Correspondence Analysis

A short-course by Associate Professor Eric J. Beh (University of Newcastle) and Associate Professor Rosaria Lombardo (Second University of Naples)

This workshop will be held in conjunction with the Australian Statistical Conference to be held in Sydney July 7-10 at the Australian Technology Park, Sydney.

Venue: Peter Johnson Building CB06.03.52 (702-730 Harris Street, Broadway) at University of Technology Sydney

http://www.ims-asc2014.com/

About the presenters:

Associate Professor Eric J. Beh (University of Newcastle) & Associate Professor Rosaria Lombardo (Second University of Naples). Eric and Rosaria’s research interests cover the broad statistical topic of categorical data analysis, with particular emphasis on the mathematical development and application of correspondence analysis, measures of bivariate and multivariate association, log-linear models, linear and non-linear partial least squares and ecological inference. Eric and Rosaria have published more than 150 papers on issues concerned with categorical data analysis, both of whom have contributed to the European and international development of correspondence analysis.

Correspondence Analysis: Theory, Methods and New Strategies.

Eric and Rosaria are currently working on a less ambitious Wiley book titled An Introduction to Correspondence Analysis.

Eric is a past president of the NSW Branch of the Statistical Society of Australia, Inc and is a member of the editorial board of the Australian & New Zealand Journal of Statistics.

Rosaria is a past member of board of Director of the IASC –ERS (International Association of Statistical Computing-European regional section) 2006-2010 and is a member of the Italian Statistical Society. She is the editor-in-chief of a new international statistics journal “International Journal of Statistics and Applications.

 

About the course

Typically, a test of independence is conducted to assess the statistical significance of the association between categorical variables that are cross-classified to form a contingency table. When it is concluded that an association exists between the variables, little attention is given to the nature of the association. One strategy that can be considered for examining the structure of the association between the variables is to consider the data visualisation technique of correspondence analysis. This short course will provide a historical, technical and practical overview of a variety of aspects of correspondence analysis. We shall discuss issues concerning the analysis of two categorical variables with a symmetric or asymmetric association structure and extend this concept to the analysis of multiple categorical variables. The extensive family of techniques (including the classic approaches, non-symmetrical correspondence analysis and others) will be discussed as will the computational issues.

Course Outline

This short course is a moderate technical introduction to various aspects of correspondence analysis. The topics that will be covered include

  • Dimension reduction techniques
  • Issues concerning the correspondence analysis of a two-way contingency table
  • The correspondence analysis of a multi-way contingency table
  • The computation of correspondence analysis

Course Timetable:
09.00-10.30am Session
10.30-11.00am Morning tea
11.00-12.30pm Session
12.30- 01.30pm Lunch
01.30- 03.00pm Session

03.00- 03.30pm Afternoon tea
03.30- 04.30pm Session

Please note that registrations start at 8:30am on the first day.

Morning/afternoon tea are provided.

Target Audience

Practising statisticians wanting to learn and apply the fundamentals of Correspondence Analysis or researchers in other disciplines with a statistical knowledge equivalent to 2 years of undergraduate study.

Requirements

Participants should have basic statistical knowledge but no knowledge of Correspondence Analysis.

Learning Objectives

Attendees will gain a basic understanding the fundamental concepts of Correspondence Analysis.

Cost

Early Bird Registrations close on 31 May 2014.

Full Fee $520.00

Discount for SSAI Members or ASC 2014 paid registrants $300.00
Students $200.00

Full Registrations after 31 May 2014.

 

Full Fee $620.00

Discount for SSAI Members or ASC 2014 paid registrants $400.00
Students $300.00

(Student membership is available for $20p/a. Regular membership is available for $220p/a)

To register, please click on the blue button on the right side of the screen.

 

Travel Expenses

Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. However, please contact the SSAI Office before making any travel arrangements to confirm that the workshop will go ahead, because the SSAI will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

Cancellation Policy

Cancellations received prior to Monday, 23 June 2014 will be refunded in full. Cancellations need to be accompanied by a valid credit card number and expiry date which will be used to put the refund through. After this time no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to [email protected]

Introduction to Correspondence Analysis
When: 06/07/2014
Time: 9:00 am - 4:30 pm
Cost: from $300 (students $200)
Location: University of Technology Sydney,
15 Broadway,
Ultimo,
NSW
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