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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.

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.
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.
Data Use: Kudos for correspondence analysis
This article offers a non-technical introduction to correspondence analysis, a multivariate statistical technique.
Multivariate analysis - some vocabulary
People new to multivariate analysis can sometimes feel as though coworkers are speaking a foreign language. Gary Mullet, of the Georgia Institute of Technology, explains some of the requisite vocabulary for multivariate statistics and analysis.
Trade Talk: Wanted: marketing scientists
Marketing research is short on qualified data analysts. Linda Burtch says that marketing researchers with a strong knowledge of multivariate analysis and other statistical areas - which she calls "marketing scientists" - are much in demand.

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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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