Understand Multivariate Analysis

Related Articles

There are 13 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

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.

A marketing researcher's guide to multivariate analysis

Marketing researchers are regularly faced with a variety of challenges, including tight deadlines, demands for results that are concise and easy to understand, and an abundance of data. This article discusses multivariate analysis as a body of statistical techniques that helps researchers isolate actionable findings quickly and reduce them to a couple of charts and graphs.

A survey of multivariate methods useful for market research

Most researchers are already familiar with universal statistical methods. This article discusses multivariate statistical methods, including key characteristics of multivariate procedures and examples.

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.

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.

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Recent Articles

Below are the 3 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

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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