Chapter 5
Multivariate Statistics
In this chapter, you will learn that, while in univariate relationship analysis you are analyzing data pair-wise – in other words, this variable against that – in multivariate relationship analysis, you are assessing many variables (predictor variables) against a single variable (target, outcome, or hypothesis variable) simultaneously. In other words, you are testing this, that, and the other against a single outcome.
Testing multiple variables simultaneously has the distinct advantage that interactions between the variables can be controlled for.
OK, enough of the jargon – what does "controlled for" really mean?
Well, the bottom line is that univariate analyses do not take into account any factors other ...
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