Programme

The programme for this conference is available via the following link.
ICMC Program 2013
There were two pre-conference workshops:
Pre-ICMC Course on Best-Worst Scaling
Tuesday 2nd July, 9.30 am to 5 pm
Venue: Centre for the Study of Choice (CenSoC) Level 3, 645 Harris Street, Ultimo NSW 2007
Course leader: Dr Terry Flynn (CenSoC, UTS)

Best-worst scaling (BWS) is a stated preference technique that is increasingly used to elicit more information from discrete choice experiments (DCEs). However, many choice modellers are unaware of other advantages it possesses, including the replacement of category rating (Likert) scales in the elicitation of citizen/consumer attitudes. This one-day course will provide an introduction to BWS, using empirical studies from a number of disciplines to illustrate the three types (“Cases”) of BWS.

Pre-ICMC Course - CHOICE EXPERIMENT DESIGN
1st July– 2 July 2013, 9am to 5pm
VENUE :
Institute of Transport and Logistics Studies
University of Sydney Business School
173-175 Phillip Street, Sydney

This course will focus on one particular data paradigm of discrete choice data, that is stated choice. Stated choice data involves providing respondents with hypothetical situations consisting of multiple alternatives. Whilst many believe that only real market data (known as revealed preference data) can be used to model discrete choices, stated preference data allows the analyst to explore the preferences for nonexistent goods or services, to model outside of the range of current market data, and to evaluate the preferences and values of goods that are not traded in real markets (such as environmental goods). The generation of the hypothetical situations that make up stated choice data is very much a science.

Topics covered include how to generate designs for stated choice experiments. The course is both theoretical and practical. Most of the time participants will be in the class room generating designs using software. By the end of the second day participants will be able to generate completely usable designs for any choice problem.