The INI has a new website!

This is a legacy webpage. Please visit the new site to ensure you are seeing up to date information.

Skip to content

DAE

Seminar

Partial profile paired comparison designs for avoiding information overload

Grossmann, H (QMUL)
Wednesday 17 August 2011, 12:30-13:00

Seminar Room 1, Newton Institute

Abstract

The inclusion of many attributes makes a choice experiment more realistic. The price to be paid for this increased face validity is however that the respondents' task becomes cognitively more demanding. In order to avoid negative side effects, such as fatigue or information overload, a common strategy is to employ partial profiles, which are incomplete descriptions of the available alternatives. This talk presents efficient designs for the situation where each choice set is a pair of partial profiles and where only the main effects of the attributes are to be estimated.

Presentation

[pdf ]

Video

The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.

Back to top ∧