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Understand Multivariate Analysis

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

Related Articles

There are 15 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Data Use: A look inside the choice-modeling toolbox
An overview of five common choice models employed in marketing research.
Data Use: Multivariate and perceptual mapping with discriminant analysis
Discriminant analysis determines what best distinguishes or tells apart groups. This article explains how to develop different types of perceptual maps with discriminant analysis, including point vector maps, the all-group scatter plot, the discriminant “territorial map,” and the vector territorial map. The author suggests several software programs for producing these maps.
How to make sure your physician surveys are giving you accurate information
In online research with physicians, three parties - the doctors, the client company and the research vendor - are responsible for ensuring data quality. This article outlines steps to follow to ensure that each stakeholder holds up their end of the bargain.
Satisfaction research confirms employees' view that Farm Bureau is tops in service
Farm Bureau Financial Services used in-depth interviews and a mail survey to measure claimant satisfaction.
Data Use: Toward a more optimized kind of revenue optimization
The author reviews traditional applications of revenue optimization and offers an improved method that uses a multivariate approach.

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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.

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.
Time series analysis: what it is and what it does
Most marketing research is cross-sectional but time series analysis is an often-overlooked but valuable tool. This article offers an overview of univariate analysis, causal modeling, multiple time series and more.
Data Use: Toward a more optimized kind of revenue optimization
The author reviews traditional applications of revenue optimization and offers an improved method that uses a multivariate approach.
Helping wrangle big data: Monte Carlo for marketing research
This article walks readers through an example of a Monte Carlo simulation and details how this methodology is useful for marketing researchers looking to manage big data and compete with predictive analytics.
Data Use: A look inside the choice-modeling toolbox
An overview of five common choice models employed in marketing research.

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