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Breakdown Analysis

Breakdown analysis is a methodology of descriptive statistics.  This is accomplished in different ways in various software packages.

Statistica offers two basic types: 
  • Breakdown & one-way ANOVA, and
  • Breakdown; non-factorial tables

From the StatSoft website, see the blog entry "How to use Breakdown Analysis for Non-Factorial Tables".  The introduction is shown below:

STATISTICA can calculate descriptive statistics for dependent variables in each of a number of groups defined by one or more grouping (independent) variable(s). Breakdowns are normally used as an exploratory data analysis technique. The typical question that this technique can help answer is very simple: are the groups created by the independent variables different regarding the dependent variable? There are two types of breakdown analyses available in STATISTICA: Breakdown & one-way ANOVA and Breakdown; non-factorial tables. 

Breakdown & one-way ANOVA
can be used to compute (broken down by groups) various descriptive statistics, correlation matrices, summary graphs, etc. This option also enables you to perform complete one-way ANOVAs, and provides tests of the homogeneity of variances and post-hoc tests of mean differences. 

Breakdown; non-factorial tables can be used to compute various descriptive statistics broken down by groups identified by unique combinations of values on the breakdown variables. Unlike Breakdown & one-way ANOVA, the groups specified in the data do not need to define a full factorial table.