What is Choice Modelling?
Choice modelling is believed to be the most accurate and general purpose tool currently available for making predictions about human decision making behaviour.
Choice models are able to predict with great accuracy how individuals will react in a particular situation. Predictions are made over a large numbers of scenarios detailing the price and features of various combinations of product features.
In addition Choice Modelling is regarded as the most suitable method for estimating consumers’ willingness to pay for quality improvements to products. The Nobel Prize for economics was awarded to a principal exponent of the Choice Modelling theory; Daniel McFadden.
Always consider this methodology if the research brief asks, “What is the value of (feature) or “How does brand share change as our brand’s price increases or decreases?”.
All decisons involve choice, simply asking consumers to rate is not enough.
Choice modelling is based on the observation that all decisions involve choice. Individuals choose among different alternatives; commuters choose between alternative methods of transport, shoppers choose between competing products for their attributes such as price, quality and quantity.
It has long been known that simply asking human beings to rate or choose their preferred item will generally yield no more information than the fact that human beings want all the benefits and none of the costs. Such an exercise would tell us, for example, that people would prefer high performance cars at no cost. This is obvious and not at all helpful to the Client.
Instead, a choice experiment requires that individuals be forced to make a trade-off between two or more options, sometimes also allowing 'None or Neither' as a valid response.
Decision Support System - A Prediction Tool for Clients
Output from choice modelling is in the form of a Decision Support System. This piece of software allows the researcher, and the Client, to change one of the variables and to see the change in brand share that occurs.
Choice models are able to predict with great accuracy how individuals will react in a particular situation. Predictions are made over a large numbers of scenarios detailing the price and features of various combinations of product features.
In addition Choice Modelling is regarded as the most suitable method for estimating consumers’ willingness to pay for quality improvements to products. The Nobel Prize for economics was awarded to a principal exponent of the Choice Modelling theory; Daniel McFadden.
Always consider this methodology if the research brief asks, “What is the value of (feature) or “How does brand share change as our brand’s price increases or decreases?”.
All decisons involve choice, simply asking consumers to rate is not enough.
Choice modelling is based on the observation that all decisions involve choice. Individuals choose among different alternatives; commuters choose between alternative methods of transport, shoppers choose between competing products for their attributes such as price, quality and quantity.
It has long been known that simply asking human beings to rate or choose their preferred item will generally yield no more information than the fact that human beings want all the benefits and none of the costs. Such an exercise would tell us, for example, that people would prefer high performance cars at no cost. This is obvious and not at all helpful to the Client.
Instead, a choice experiment requires that individuals be forced to make a trade-off between two or more options, sometimes also allowing 'None or Neither' as a valid response.
Decision Support System - A Prediction Tool for Clients
Output from choice modelling is in the form of a Decision Support System. This piece of software allows the researcher, and the Client, to change one of the variables and to see the change in brand share that occurs.
Celsius Research - Choice Modelling Experts
Choice modelling is an extremely advanced research methodology. It is very powerful. Few researchers in Australia have the skills to do this type of research.
Celsius Research has years of experience in providing Choice Modelling solutions. Furthermore, we are very proud to have a strong partnership with Censoc, the Choice Modelling division of the University of Technology Sydney (UTS). CenSoC is a world-leading choice-focused research facility providing practical insights, utilising evidence-based research, for industries to better understand and predict human choice behaviour.
Contact Us to find out more.
Celsius Research has years of experience in providing Choice Modelling solutions. Furthermore, we are very proud to have a strong partnership with Censoc, the Choice Modelling division of the University of Technology Sydney (UTS). CenSoC is a world-leading choice-focused research facility providing practical insights, utilising evidence-based research, for industries to better understand and predict human choice behaviour.
Contact Us to find out more.
