Pearson’s Chi-square for Canonical Correlation Analysis
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Tests for independence between two sets of Categorical questions, containing [math]\displaystyle{ p }[/math] and [math]\displaystyle{ q }[/math] variables or categories respectively. The tests statistic is:
[math]\displaystyle{ V = \sum^m_{i=1} nr^2_i }[/math]
where
- [math]\displaystyle{ n }[/math] is the Effective Sample Size,
- [math]\displaystyle{ p \approx \Pr(\chi^2_{pq} \ge \Lambda) }[/math].
Note that when preparing the data Q will modify [math]\displaystyle{ p }[/math] and [math]\displaystyle{ q }[/math] as required (explanations are provided in the test outputs).