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Learn About Conjoint And Trade-Off Analysis

We've grouped together all the information our site contains on Conjoint Analysis and Trade Off Analysis to help you quickly and easily find related articles, companies, events, jobs, associations, glossary definitions and more.

Related Articles

There are 50 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Conjoint analysis enhances computer-based interviews
By employing interactive software, conjoint analysis increases the effectiveness of computer-based interviewing. The results have helped businesses to better understand the marketplace with accurate data.
Data Use: Understanding conjoint analysis: predicting choice
Using a golf-ball example, author Joe Curry explains how conjoint analysis can be used to determine the features and pricing of a new or reconfigured product.
Data Use: Determining product feature price sensitivities
This article discusses several approaches to determining customer price sensitivities – analyzing actual sales as a function of price, laboratory purchase experiments and preference studies where buyers are asked to express their purchase likelihoods for a product at various price levels. The article then describes the use and advantages of a form of conjoint analysis that allows researchers to estimate both feature prices and the overall price in order to better measure price sensitivities of consumers.
Data Use: Conjoint evolves into discrete choice modeling
This article profiles discrete choice modeling which, unlike conjoint modeling, does not require pairing of all attributes. Therefore, unrealistic products are not produced. The respondent does not rate, sort or rank-order, but instead acts as if he or she is in the marketplace, selecting which product to buy.
Data Use: Structured Equation Models: an introduction
This article describes an analysis technique known as Structured Equations Models (SEM), also called Causal Modeling, Latent Variable Modeling, and LISREL models. The author illustrates how SEM can help analyze results of conjoint analysis to more fully understand the motivational, perceptual or psychological determinants of perceived value.

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Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

Data Use: A look inside the choice-modeling toolbox
An overview of five common choice models employed in marketing research.
The power of prediction markets
What’s the allure of prediction markets? Do they work? If so, how? Should researchers be interested?
The value of mixing conjoint with qualitative
While acknowledging the limitations of doing so, the author argues that it’s possible to successfully incorporate a conjoint study into the qualitative setting.
What's hot in conjoint: A recap from the 2013 Sawtooth Software Conference
SKIM's Chris Fotenos reports back from the 2013 Sawtooth Software Conference with an overview of the themes and popular topics covered regarding conjoint analysis, including how to make conjoint more engaging, how to take conjoint mobile and how to augment conjoint with other data sources.
Best practices for key driver analysis
Key driver analysis is a versatile tool in the marketing research toolkit and can help clients uncover what is most important to consumers in a product or service category and understand where to focus their priorities.

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