Multivariate Analysis

Probability and Statistics > Multivariate Analysis

What is Multivariate Analysis?

Multivariate analysis is used to study more complex sets of data than what univariate analysis methods can handle. This type of analysis is almost always performed with software (i.e. SPSS or SAS), as working with even the smallest of data sets can be overwhelming by hand.

Multivariate analysis can reduce the likelihood of Type I errors. Sometimes, univariate analysis is preferred as multivariate techniques can result in difficulty interpreting the results of the test. For example, group differences on a linear combination of dependent variables in MANOVA can be unclear. In addition, multivariate analysis is usually unsuitable for small sets of data.

There are more than 20 different ways to perform multivariate analysis. Which one you choose depends upon the type of data you have and what your goals are. For example, if you have a single data set you have several choices:

Although there are fairly clear boundaries with one data set (for example, if you have a single data set in a contingency table your options are limited to correspondence analysis), in most cases you’ll be able to choose from several methods.

multivariate analysis

Cluster analysis showing three groups.

Click on a link to read about specific types of multivariate analysis:


Multivariate Analysis was last modified: December 26th, 2017 by Stephanie

One thought on “Multivariate Analysis

  1. Baloch Sam

    Hi There,
    I have a question to ask on probability. Will you be please help me out?
    My Question is;
    There are 13 Soccer Matches being played.
    Scores can either be Win “W”, Draw “D” or Loss “L”
    If I want to predict all 13matches correct, what is probability of me getting correct score. How many possible scores will there be?